revert draw mpl (once qiskit fixes Qiskit/qiskit#11750 )

docs/basic.rst

@@ -34,7 +34,7 @@ needed modules, and construct a circuit of interest.
     qc.cx(5,4)
     qc.cx(1,2)
     qc.measure_all()
-    qc.draw('text')
+    qc.draw('mpl')
 
 Next we calibrate an M3 mitigator instance over qubits 0 -> 6 (Step #1):
 

docs/error.rst

@@ -26,7 +26,7 @@ Let us first calibrate the mitigator and get raw results:
     qc.cx(5,4)
     qc.cx(1,2)
     qc.measure_all()
-    qc.draw('text')
+    qc.draw('mpl')
 
 
 .. jupyter-execute::

docs/grouped.rst

@@ -19,7 +19,7 @@ this consider the following simple example:
     qc.h(0)
     qc.cx(0, range(1, 4))
     qc.measure_all()
-    qc.draw('text')
+    qc.draw('mpl')
 
 Here we will generate and execute two circuits on the target system (fake system in this case),
 and, because we have transpiled, find the final measurement mapping:

docs/marginals.rst

@@ -28,7 +28,7 @@ Consider the following circuit that we would like to evaluate:
     for kk in range(N//2, N-1):
         qc.ch(kk, kk+1)
     qc.measure_all()
-    qc.draw('text')
+    qc.draw('mpl')
 
 
 Let us first map this onto the target system and compute the final measurement mapping:

docs/transpiled.rst

@@ -25,7 +25,7 @@ For example consider the Bernstein-Vazirani circuit
     qc.h(range(4))
     qc.barrier()
     qc.measure(range(4), range(4))
-    qc.draw('text')
+    qc.draw('mpl')
 
 The target Casablanca system does not have the needed connectivity to natively
 embed the circuit and we must SWAP map it:
@@ -34,7 +34,7 @@ embed the circuit and we must SWAP map it:
 
     backend = FakeCasablanca()
     trans_qc = transpile(qc, backend, optimization_level=3, seed_transpiler=12345)
-    trans_qc.draw('text')
+    trans_qc.draw('mpl')
 
 
 We can see from the measurements at the end that what was circuit qubit 0 is now mapped to physical

docs/utils.rst

@@ -26,15 +26,15 @@ bits they correspond to.  Here we show another example of this usage.  First we
     qc.h(0)
     qc.cx(0, range(1,7))
     qc.measure_all()
-    qc.draw('text')
+    qc.draw('mpl')
 
 and then transpile it:
 
 .. jupyter-execute::
 
     backend = FakeCasablanca()
     trans_qc = transpile(qc, backend, optimization_level=3, seed_transpiler=54321)
-    trans_qc.draw('text')
+    trans_qc.draw('mpl')
 
 Once again we see that the physical qubits used and to which classical bits they map
 to is non-trivial to find.  Yet this information is critical for successfully mitigating