Drop circuit-specific dedicated handling for swaps

src/qibotn/quimb.py

@@ -3,16 +3,17 @@ import quimb.tensor as qtn
 from qibo.models import Circuit as QiboCircuit
 
 
-def from_qibo(circuit: QiboCircuit, swaps: bool = True, psi0=None):
+def from_qibo(circuit: QiboCircuit, psi0=None):
     nqubits = circuit.nqubits
     tncirc = qtn.Circuit(nqubits, psi0=psi0)
 
     for gate in circuit.queue:
-        tncirc.apply_gate(gate.name)
-
-    if swaps:
-        for i in range(nqubits // 2):  # TODO: Ignore the barrier indices?
-            tncirc.apply_gate("SWAP", i, nqubits - i - 1)
+        tncirc.apply_gate(
+            gate.name,
+            *gate.parameters,
+            *gate.qubits,
+            parametrize=len(gate.parameters) > 0
+        )
 
     return tncirc
 
@@ -23,7 +24,7 @@ def init_state_tn(nqubits, init_state_sv):
     return qtn.tensor_1d.MatrixProductState.from_dense(init_state_sv, dims)
 
 
-def eval(qasm: str, init_state, backend="numpy", swaps=True):
+def eval(qasm: str, init_state, backend="numpy"):
     """Evaluate QASM with Quimb
 
     backend (quimb): numpy, cupy, jax. Passed to ``opt_einsum``.
@@ -31,7 +32,7 @@ def eval(qasm: str, init_state, backend="numpy", swaps=True):
     """
     circuit = QiboCircuit.from_qasm(qasm)
     init_state_mps = init_state_tn(circuit.nqubits, init_state)
-    circ_quimb = from_qibo(circuit, swaps=swaps, psi0=init_state_mps)
+    circ_quimb = from_qibo(circuit, psi0=init_state_mps)
     interim = circ_quimb.psi.full_simplify(seq="DRC")
     amplitudes = interim.to_dense(backend=backend).flatten()