Delete Chain, Dense, Grid, Product types

bsc-quantic · Oct 29, 2024 · 0bef4a9 · 0bef4a9
1 parent 7c67f58
commit 0bef4a9
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diff --git a/ext/TenetQuacExt.jl b/ext/TenetQuacExt.jl
@@ -3,13 +3,13 @@ module TenetQuacExt
 using Tenet
 using Quac: Gate, Circuit, lanes, arraytype, Swap
 
-function Tenet.Dense(gate::Gate)
-    return Tenet.Dense(
-        Operator(), arraytype(gate)(gate); sites=Site[Site.(lanes(gate))..., Site.(lanes(gate); dual=true)...]
-    )
-end
+# function Tenet.Dense(gate::Gate)
+#     return Tenet.Dense(
+#         Operator(), arraytype(gate)(gate); sites=Site[Site.(lanes(gate))..., Site.(lanes(gate); dual=true)...]
+#     )
+# end
 
-Tenet.evolve!(qtn::Ansatz, gate::Gate; kwargs...) = evolve!(qtn, Tenet.Dense(gate); kwargs...)
+# Tenet.evolve!(qtn::Ansatz, gate::Gate; kwargs...) = evolve!(qtn, Tenet.Dense(gate); kwargs...)
 
 function Tenet.Quantum(circuit::Circuit)
     n = lanes(circuit)

diff --git a/ext/TenetReactantExt.jl b/ext/TenetReactantExt.jl
@@ -60,17 +60,17 @@ function Reactant.create_result(tocopy::Ansatz, @nospecialize(path), result_stor
 end
 
 # TODO try rely on generic fallback for ansatzes
-function Reactant.create_result(tocopy::Tenet.Product, @nospecialize(path), result_stores)
-    tn = Reactant.create_result(Ansatz(tocopy), Reactant.append_path(path, :tn), result_stores)
-    return :($(Tenet.Product)($tn))
-end
+# function Reactant.create_result(tocopy::Tenet.Product, @nospecialize(path), result_stores)
+#     tn = Reactant.create_result(Ansatz(tocopy), Reactant.append_path(path, :tn), result_stores)
+#     return :($(Tenet.Product)($tn))
+# end
 
-for A in (MPS, MPO)
-    @eval function Reactant.create_result(tocopy::$A, @nospecialize(path), result_stores)
-        tn = Reactant.create_result(Ansatz(tocopy), Reactant.append_path(path, :tn), result_stores)
-        return :($A($tn, form(tocopy)))
-    end
-end
+# for A in (MPS, MPO)
+#     @eval function Reactant.create_result(tocopy::$A, @nospecialize(path), result_stores)
+#         tn = Reactant.create_result(Ansatz(tocopy), Reactant.append_path(path, :tn), result_stores)
+#         return :($A($tn, form(tocopy)))
+#     end
+# end
 
 function Reactant.push_val!(ad_inputs, x::TensorNetwork, path)
     @assert length(path) == 2