Convert Quimb TensorNetwork types to TensorNetwork, Quantum

.gitignore

@@ -127,3 +127,167 @@ $RECYCLE.BIN/
 .julia
 *.excalidraw
 archive/
+test/.CondaPkg/
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

CondaPkg.toml

@@ -0,0 +1,5 @@
+[deps]
+qiskit = ""
+
+[pip.deps]
+quimb = ""

ext/TenetPythonCallExt.jl → ext/TenetPythonCallExt/Qiskit.jl

@@ -1,15 +1,11 @@
-module TenetPythonCallExt
-
-using Tenet
-using PythonCall
-using PythonCall.Core: pyisnone
-
-pyfullyqualname(pyobj) = join([pytype(pyobj).__module__, pytype(pyobj).__qualname__], '.')
-
-function Tenet.Quantum(pyobj::Py)
-    pyclassname = pyfullyqualname(pyobj)
-    if pyclassname != "qiskit.circuit.quantumcircuit.QuantumCircuit"
-        throw(ArgumentError("Expected a Qiskit's QuantumCircuit object, got $pyclassname"))
+function Tenet.Quantum(::Val{:qiskit}, pyobj::Py)
+    qiskit = pyimport("qiskit")
+    if !pyissubclass(pytype(pyobj), qiskit.circuit.quantumcircuit.QuantumCircuit)
+        throw(
+            ArgumentError(
+                "Expected a qiskit.circuit.quantumcircuit.QuantumCircuit object, got $(pyfullyqualname(pyobj))"
+            ),
+        )
     end
 
     n = length(pyobj.qregs[0])
@@ -54,5 +50,3 @@
 
     return Quantum(tn, sites)
 end
-
-end

ext/TenetPythonCallExt/Quimb.jl

@@ -0,0 +1,44 @@
+function Tenet.TensorNetwork(::Val{:quimb}, pyobj::Py)
+    quimb = pyimport("quimb")
+    if !pyissubclass(pytype(pyobj), quimb.tensor.tensor_core.TensorNetwork)
+        throw(ArgumentError("Expected a quimb.tensor.tensor_core.TensorNetwork object, got $(pyfullyqualname(pyobj))"))
+    end
+
+    ts = map(pyobj.tensors) do tensor
+        array = pyconvert(Array, tensor.data)
+        inds = Symbol.(pyconvert(Array, tensor.inds))
+        Tensor(array, inds)
+    end
+
+    return TensorNetwork(ts)
+end
+
+function Tenet.Quantum(::Val{:quimb}, pyobj::Py)
+    quimb = pyimport("quimb")
+    if pyissubclass(pytype(pyobj), quimb.tensor.circuit.Circuit)
+        return Quantum(pyobj.get_uni())
+    elseif pyissubclass(pytype(pyobj), quimb.tensor.tensor_arbgeom.TensorNetworkGenVector)
+        return Quantum(Val(Symbol("quimb.tensor.tensor_arbgeom.TensorNetworkGenVector")), pyobj)
+    elseif pyissubclass(pytype(pyobj), quimb.tensor.tensor_arbgeom.TensorNetworkGenOperator)
+        return Quantum(Val(Symbol("quimb.tensor.tensor_arbgeom.TensorNetworkGenOperator")), pyobj)
+    else
+        throw(ArgumentError("Unknown treatment for object of class $(pyfullyqualname(pyobj))"))
+    end
+end
+
+function Tenet.Quantum(::Val{Symbol("quimb.tensor.tensor_arbgeom.TensorNetworkGenVector")}, pyobj::Py)
+    tn = TensorNetwork(pyobj)
+    sitedict = Dict(Site(pyconvert(Int, i)) => pyconvert(Symbol, pyobj.site_ind(i)) for i in pyobj.sites)
+    return Quantum(tn, sitedict)
+end
+
+function Tenet.Quantum(::Val{Symbol("quimb.tensor.tensor_arbgeom.TensorNetworkGenOperator")}, pyobj::Py)
+    tn = TensorNetwork(pyobj)
+
+    sitedict = merge!(
+        Dict(Site(pyconvert(Int, i)) => pyconvert(Symbol, pyobj.lower_ind(i)) for i in pyobj.sites),
+        Dict(Site(pyconvert(Int, i); dual=true) => pyconvert(Symbol, pyobj.upper_ind(i)) for i in pyobj.sites),
+    )
+
+    return Quantum(tn, sitedict)
+end

ext/TenetPythonCallExt/TenetPythonCallExt.jl

@@ -0,0 +1,22 @@
+module TenetPythonCallExt
+
+using Tenet
+using PythonCall
+using PythonCall.Core: pyisnone
+
+pyfullyqualname(pyobj) = join([pytype(pyobj).__module__, pytype(pyobj).__qualname__], '.')
+
+function Tenet.TensorNetwork(pyobj::Py)
+    pymodule, _ = split(pyconvert(String, pytype(pyobj).__module__), "."; limit=2)
+    return TensorNetwork(Val(Symbol(pymodule)), pyobj)
+end
+
+function Tenet.Quantum(pyobj::Py)
+    pymodule, _ = split(pyconvert(String, pytype(pyobj).__module__), "."; limit=2)
+    return Quantum(Val(Symbol(pymodule)), pyobj)
+end
+
+include("Qiskit.jl")
+include("Quimb.jl")
+
+end

test/Project.toml

@@ -16,6 +16,7 @@ NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"
 OMEinsum = "ebe7aa44-baf0-506c-a96f-8464559b3922"
 Permutations = "2ae35dd2-176d-5d53-8349-f30d82d94d4f"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
 Quac = "b9105292-1415-45cf-bff1-d6ccf71e6143"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

test/integration/python/test_qiskit.jl

@@ -0,0 +1,18 @@
+@testset "qiskit" begin
+    using PythonCall
+    qiskit = pyimport("qiskit")
+
+    circuit = qiskit.QuantumCircuit(3)
+    circuit.h(0)
+    circuit.h(1)
+    circuit.cx(1, 2)
+    circuit.cx(0, 2)
+    circuit.h(0)
+    circuit.h(1)
+    circuit.h(2)
+
+    tn = Tenet.Quantum(circuit)
+    @test issetequal(sites(tn; set=:inputs), adjoint.(Site.([1, 2, 3])))
+    @test issetequal(sites(tn; set=:outputs), Site.([1, 2, 3]))
+    @test Tenet.ntensors(tn) == 7
+end

test/integration/python/test_quimb.jl

@@ -0,0 +1,19 @@
+@testset "quimb" begin
+    using PythonCall
+    qtn = pyimport("quimb.tensor")
+
+    # NOTE quimb.circuit.Circuit splits gates by default
+    qc = qtn.Circuit(3; gate_opts=Dict(["contract" => false]))
+    gates = [("H", 0), ("H", 1), ("CNOT", 1, 2), ("CNOT", 0, 2), ("H", 0), ("H", 1), ("H", 2)]
+    qc.apply_gates(gates)
+
+    tn = Tenet.Quantum(qc)
+    @test issetequal(sites(tn; set=:inputs), adjoint.(Site.([0, 1, 2])))
+    @test issetequal(sites(tn; set=:outputs), Site.([0, 1, 2]))
+    @test Tenet.ntensors(tn) == 7
+
+    tn = Tenet.Quantum(qc.psi)
+    @test isempty(sites(tn; set=:inputs))
+    @test issetequal(sites(tn; set=:outputs), Site.([0, 1, 2]))
+    @test Tenet.ntensors(tn) == 10
+end

test/runtests.jl

@@ -25,6 +25,11 @@ if VERSION >= v"1.10"
         include("integration/Quac_test.jl")
         include("integration/ITensors_test.jl")
         include("integration/ITensorNetworks_test.jl")
+
+        @testset "Python" begin
+            include("integration/python/test_quimb.jl")
+            include("integration/python/test_qiskit.jl")
+        end
     end
 end