diff --git a/Project.toml b/Project.toml
index 0c58e3a8..9cdea500 100644
--- a/Project.toml
+++ b/Project.toml
@@ -28,6 +28,7 @@ GraphMakie = "1ecd5474-83a3-4783-bb4f-06765db800d2"
 Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
 KrylovKit = "0b1a1467-8014-51b9-945f-bf0ae24f4b77"
 Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
+PythonCall = "6099a3de-0909-46bc-b1f4-468b9a2dfc0d"
 Quac = "b9105292-1415-45cf-bff1-d6ccf71e6143"
 Reactant = "3c362404-f566-11ee-1572-e11a4b42c853"
 Yao = "5872b779-8223-5990-8dd0-5abbb0748c8c"
@@ -41,6 +42,7 @@ TenetDaggerExt = "Dagger"
 TenetFiniteDifferencesExt = "FiniteDifferences"
 TenetGraphMakieExt = ["GraphMakie", "Makie"]
 TenetKrylovKitExt = ["KrylovKit"]
+TenetPythonCallExt = "PythonCall"
 TenetQuacExt = "Quac"
 TenetReactantExt = "Reactant"
 TenetYaoExt = "Yao"
@@ -63,6 +65,7 @@ KrylovKit = "0.8.1"
 LinearAlgebra = "1.9"
 Makie = "0.18,0.19,0.20, 0.21"
 OMEinsum = "0.7, 0.8"
+PythonCall = "0.9"
 Quac = "0.3"
 Random = "1.9"
 Reactant = "0.2"
diff --git a/ext/TenetPythonCallExt.jl b/ext/TenetPythonCallExt.jl
new file mode 100644
index 00000000..80e11da9
--- /dev/null
+++ b/ext/TenetPythonCallExt.jl
@@ -0,0 +1,54 @@
+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"))
+    end
+
+    n = length(pyobj.qregs[0])
+    gen = Tenet.IndexCounter()
+
+    wire = [[Tenet.nextindex!(gen)] for _ in 1:n]
+    tensors = Tensor[]
+
+    for instr in pyobj
+        # if unassigned parameters, throw
+        matrix = instr.matrix
+        if pyisnone(matrix)
+            throw(ArgumentError("Expected parameters already assigned, but got $(pyobj.params)"))
+        end
+
+        matrix = pyconvert(Array, matrix)
+
+        qubits = map(x -> pyconvert(Int, x._index), instr.qubits)
+        array = reshape(matrix, fill(2, 2 * length(qubits))...)
+
+        inds = (x -> collect(Iterators.flatten(zip(x...))))(
+            map(qubits) do l
+                l += 1
+                from, to = last(wire[l]), Tenet.nextindex!(gen)
+                push!(wire[l], to)
+                (from, to)
+            end,
+        )
+
+        tensor = Tensor(array, Tuple(inds))
+        push!(tensors, tensor)
+    end
+
+    sites = merge(
+        Dict([Site(site; dual=true) => first(index) for (site, index) in enumerate(wire)]),
+        Dict([Site(site; dual=false) => last(index) for (site, index) in enumerate(wire)]),
+    )
+
+    return Quantum(Tenet.TensorNetwork(tensors), sites)
+end
+
+end