From 12a34db93a089f6d8a5cf2ec85123ec270194586 Mon Sep 17 00:00:00 2001 From: Paul Nation Date: Mon, 11 May 2020 16:57:49 -0400 Subject: [PATCH] Update 4_transpiler_passes_and_passmanager.ipynb --- .../4_transpiler_passes_and_passmanager.ipynb | 857 +++++------------- 1 file changed, 206 insertions(+), 651 deletions(-) diff --git a/tutorials/circuits_advanced/4_transpiler_passes_and_passmanager.ipynb b/tutorials/circuits_advanced/4_transpiler_passes_and_passmanager.ipynb index e93ceb992..11bc71c48 100755 --- a/tutorials/circuits_advanced/4_transpiler_passes_and_passmanager.ipynb +++ b/tutorials/circuits_advanced/4_transpiler_passes_and_passmanager.ipynb @@ -66,7 +66,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", 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" ] @@ -94,7 +94,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -207,52 +207,7 @@ "start_time": "2019-12-10T21:47:57.541513Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:96: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(swap_layer, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:96: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(swap_layer, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:96: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(swap_layer, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/basic_swap.py:103: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " new_dag.compose(subdag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n" - ] - } - ], + "outputs": [], "source": [ "from qiskit.transpiler import CouplingMap, Layout\n", "from qiskit.transpiler.passes import BasicSwap, LookaheadSwap, StochasticSwap\n", @@ -294,7 +249,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -320,7 +275,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -425,7 +380,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2019-12-10T21:47:59.632459Z", @@ -524,7 +479,7 @@ "« " ] }, - "execution_count": 11, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -578,140 +533,6 @@ "gates = OrderedDict([('cx', 89), ('u3', 15), ('u1', 15)])\n", "depth = 108\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n" - ] } ], "source": [ @@ -737,140 +558,6 @@ "gates = OrderedDict([('cx', 77), ('u3', 15), ('u1', 6)])\n", "depth = 87\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n" - ] } ], "source": [ @@ -889,140 +576,6 @@ } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:272: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " dagcircuit_output.compose(layer_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/transpiler/passes/routing/stochastic_swap.py:383: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", - " identity_wire_map)\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -1052,7 +605,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "gates = OrderedDict([('cx', 21), ('u3', 17), ('u2', 5), ('u1', 4)])\n", + "gates = OrderedDict([('cx', 21), ('u3', 16), ('u2', 5), ('u1', 5)])\n", "depth = 39\n" ] } @@ -1091,7 +644,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -1177,10 +730,10 @@ { "data": { "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ]" + "[,\n", + " ,\n", + " ,\n", + " ]" ] }, "execution_count": 18, @@ -1214,7 +767,7 @@ "output_type": "stream", "text": [ "node name: rz\n", - "node op: \n", + "node op: \n", "node qargs: [Qubit(QuantumRegister(3, 'q'), 1)]\n", "node cargs: []\n", "node condition: (ClassicalRegister(3, 'c'), 2)\n" @@ -1254,7 +807,7 @@ "data": { "image/png": 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\n", "text/plain": [ - "" + "" ] }, "execution_count": 20, @@ -1263,7 +816,7 @@ } ], "source": [ - "from qiskit.extensions.standard import HGate\n", + "from qiskit.circuit.library.standard_gates import HGate\n", "dag.apply_operation_back(HGate(), qargs=[q[0]])\n", "dag_drawer(dag)" ] @@ -1285,19 +838,11 @@ } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: DeprecationWarning: The class ToffoliGate is deprecated as of 0.14.0, and will be removed no earlier than 3 months after that release date. You should use the class CCXGate instead.\n", - " \n" - ] - }, { "data": { "image/png": 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\n", "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -1306,8 +851,8 @@ } ], "source": [ - "from qiskit.extensions.standard import ToffoliGate\n", - "dag.apply_operation_front(ToffoliGate(), qargs=[q[0], q[1], q[2]], cargs=[])\n", + "from qiskit.circuit.library.standard_gates import CCXGate\n", + "dag.apply_operation_front(CCXGate(), qargs=[q[0], q[1], q[2]], cargs=[])\n", "dag_drawer(dag)" ] }, @@ -1328,11 +873,19 @@ } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:1: DeprecationWarning: The module qiskit.extensions.standard is deprecated as of 0.14.0 and will be removed no earlier than 3 months after the release. You should import the standard gates from qiskit.circuit.library.standard_gates instead.\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + }, { "data": { "image/png": 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\n", "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -1374,7 +927,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1538,7 +1091,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -1579,42 +1132,44 @@ "name": "stderr", "output_type": "stream", "text": [ - "/opt/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:59: DeprecationWarning: deprecated function, use dag.two_qubit_ops(). filter output by isinstance(op, Gate) to only get unitary Gates.\n", - "/opt/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:93: DeprecationWarning: dag.extend_back is deprecated, please use dag.compose.\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:59: DeprecationWarning: deprecated function, use dag.two_qubit_ops(). filter output by isinstance(op, Gate) to only get unitary Gates.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:92: DeprecationWarning: combine_into_edge_map is deprecated as of 0.14.0 and will be removed in a future release. Instead reorder_bits() should be used\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:93: DeprecationWarning: dag.extend_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:86: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:85: DeprecationWarning: combine_into_edge_map is deprecated as of 0.14.0 and will be removed in a future release. Instead reorder_bits() should be used\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/ipykernel_launcher.py:86: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:488: DeprecationWarning: dag.compose_back is deprecated, please use dag.compose.\n", " self.compose_back(dag, edge_map)\n", - "/opt/miniconda3/lib/python3.7/site-packages/qiskit_terra-0.14.0-py3.7-macosx-10.9-x86_64.egg/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", + "/opt/miniconda3/envs/qiskit/lib/python3.7/site-packages/qiskit/dagcircuit/dagcircuit.py:495: DeprecationWarning: edge_map arg as a dictionary is deprecated. Use qubits and clbits args to specify a list of self edges to compose onto.\n", " self.compose(input_circuit, edge_map)\n" ] } @@ -1644,7 +1199,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1670,7 +1225,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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"text/plain": [ "
" ] @@ -1771,31 +1326,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.01168 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.12112 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 0.84782 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.18692 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.11897 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.84209 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.21291 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.09894 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.52810 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.32616 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.30582 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.06819 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.09608 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.03362 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 3.28135 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.25988 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.06390 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02837 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.57197 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.12589 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.05817 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02575 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.39506 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.10586 (ms)\n", - "INFO:qiskit.compiler.transpile:Total Transpile Time - 81.03490 (ms)\n" + "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.00596 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.04387 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 0.30208 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.05794 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.06509 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.66090 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.01907 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.03600 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.21005 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.07224 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 0.51904 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.04506 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.15688 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.03672 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 1.45411 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.17190 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.03886 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.01788 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.29898 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.12302 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.04911 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.03004 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.43583 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.11897 (ms)\n", + "INFO:qiskit.compiler.transpile:Total Transpile Time - 43.15710 (ms)\n" ] } ], @@ -1846,31 +1401,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.01311 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.14997 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 0.71025 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.11492 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.18096 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 1.08910 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.14901 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.18978 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.33307 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.11802 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.07002 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.06509 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.06008 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02384 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 3.43394 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.15163 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.06294 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02408 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.53596 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.18716 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.10300 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.05794 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.87595 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.12612 (ms)\n", - "INFO:qiskit.compiler.transpile:Total Transpile Time - 83.96220 (ms)\n" + "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.00620 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.06700 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 0.55218 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.09203 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.13399 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.48494 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.02384 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.08130 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.17691 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.09704 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 0.63086 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.02623 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.07987 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02098 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 1.68657 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.13709 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.04005 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.01812 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.56696 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.07176 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.06390 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.01788 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.59581 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.08512 (ms)\n", + "INFO:qiskit.compiler.transpile:Total Transpile Time - 43.03718 (ms)\n" ] } ], @@ -1904,55 +1459,55 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.01311 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.01168 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.14901 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.17214 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 1.43003 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 1.47295 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.25702 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.23913 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.22316 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.18501 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.79393 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.77105 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.09608 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.07010 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.10896 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.08917 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.58079 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.63777 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.16499 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.20814 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.12820 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.19305 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.07796 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.06580 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.14997 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.11730 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.03695 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.04411 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 3.29614 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 3.63970 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.15211 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.17810 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.05078 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.05507 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02789 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02408 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.36502 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.45681 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.11802 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.12398 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.05102 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.06819 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02313 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02098 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.44012 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.46515 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.02789 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: SetLayout - 0.02599 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.25392 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: TrivialLayout - 0.28682 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 1.16301 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Layout2qDistance - 1.03974 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.36311 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FullAncillaAllocation - 0.19407 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.16212 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: EnlargeWithAncilla - 0.16999 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.84186 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: ApplyLayout - 0.64898 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.04721 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroll3qOrMore - 0.06008 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.07606 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckMap - 0.07915 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.95201 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Unroller - 0.78106 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.11110 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CheckCXDirection - 0.14400 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.06406 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXDirection - 1.12319 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.07510 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.12803 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: RemoveResetInZeroState - 0.08607 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.22912 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.41389 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.06032 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 3.57199 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 4.03023 (ms)\n", "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.11992 (ms)\n", - "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.19503 (ms)\n", - "INFO:qiskit.compiler.transpile:Total Transpile Time - 164.79111 (ms)\n" + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.09704 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.24509 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.06032 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.10490 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.39506 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.02623 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.21505 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.43488 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.03886 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.06199 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.36287 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Depth - 0.08702 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.59867 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: FixedPoint - 0.11635 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.17619 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: Optimize1qGates - 0.48089 (ms)\n", + "INFO:qiskit.transpiler.runningpassmanager:Pass: CXCancellation - 0.09084 (ms)\n", + "INFO:qiskit.compiler.transpile:Total Transpile Time - 164.09874 (ms)\n" ] } ], @@ -2008,55 +1563,55 @@ "name": "stderr", "output_type": "stream", "text": [ - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: SetLayout - 0.04983 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: SetLayout - 0.02480 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: TrivialLayout - 0.23913 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: TrivialLayout - 0.25082 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Layout2qDistance - 2.14195 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Layout2qDistance - 2.39515 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FullAncillaAllocation - 0.29802 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FullAncillaAllocation - 0.42486 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: EnlargeWithAncilla - 0.20885 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: EnlargeWithAncilla - 0.37003 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: ApplyLayout - 1.04189 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: ApplyLayout - 1.05810 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Unroll3qOrMore - 0.08893 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Unroll3qOrMore - 0.13590 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CheckMap - 0.10204 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CheckMap - 0.09394 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Unroller - 0.93317 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Unroller - 0.80585 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CheckCXDirection - 0.16117 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CheckCXDirection - 0.13900 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXDirection - 1.44386 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXDirection - 1.17707 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: RemoveResetInZeroState - 0.18001 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: RemoveResetInZeroState - 0.26202 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.15998 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.15998 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.07868 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.05484 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 3.24392 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 3.64804 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.25296 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.30494 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.05102 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.05412 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.02694 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.02503 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 0.45681 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 0.43488 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.11611 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.17118 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.09108 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.09084 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.02503 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.04101 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 0.55289 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 0.45276 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.10705 (ms)\n", - "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.15879 (ms)\n", - "qiskit.compiler.transpile - MainProcess - INFO: Total Transpile Time - 181.60892 (ms)\n" + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: SetLayout - 0.02909 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: SetLayout - 0.02718 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: TrivialLayout - 0.29492 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: TrivialLayout - 0.23103 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Layout2qDistance - 2.46024 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Layout2qDistance - 2.50220 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FullAncillaAllocation - 0.49615 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FullAncillaAllocation - 0.32210 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: EnlargeWithAncilla - 0.20599 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: EnlargeWithAncilla - 0.19908 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: ApplyLayout - 0.88406 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: ApplyLayout - 1.16515 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Unroll3qOrMore - 0.05102 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Unroll3qOrMore - 0.07915 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CheckMap - 0.09394 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CheckMap - 0.08893 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Unroller - 0.76795 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Unroller - 0.74792 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CheckCXDirection - 0.14591 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CheckCXDirection - 0.17595 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXDirection - 1.74809 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXDirection - 1.42479 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: RemoveResetInZeroState - 0.08798 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: RemoveResetInZeroState - 0.08392 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.11921 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.21601 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.11492 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.08917 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 5.97310 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 5.64504 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.11897 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.14782 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.07510 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.04315 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.05007 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.05102 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 2.16222 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 0.40603 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.20194 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.22888 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Depth - 0.07010 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Depth - 0.08106 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: FixedPoint - 0.05913 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: FixedPoint - 0.02718 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: Optimize1qGates - 0.34308 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: Optimize1qGates - 0.35501 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-5 - INFO: Pass: CXCancellation - 0.14210 (ms)\n", + "qiskit.transpiler.runningpassmanager - ForkProcess-6 - INFO: Pass: CXCancellation - 0.15473 (ms)\n", + "qiskit.compiler.transpile - MainProcess - INFO: Total Transpile Time - 191.32900 (ms)\n" ] } ], @@ -2087,8 +1642,8 @@ { "data": { "text/html": [ - "

Version Information

Qiskit SoftwareVersion
QiskitNone
Terra0.14.0
Aer0.6.0
IgnisNone
AquaNone
IBM Q Provider0.6.1
System information
Python3.7.7 (default, Mar 26 2020, 10:32:53) \n", - "[Clang 4.0.1 (tags/RELEASE_401/final)]
OSDarwin
CPUs4
Memory (Gb)16.0
Mon Apr 27 22:28:46 2020 EDT
" + "

Version Information

Qiskit SoftwareVersion
Qiskit0.19.1
Terra0.14.1
Aer0.5.1
Ignis0.3.0
Aqua0.7.0
IBM Q Provider0.7.0
System information
Python3.7.7 (default, Mar 26 2020, 10:32:53) \n", + "[Clang 4.0.1 (tags/RELEASE_401/final)]
OSDarwin
CPUs4
Memory (Gb)16.0
Mon May 11 16:56:35 2020 EDT
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