def test_add_same_gate_multiple_time(self):
from qulacs import QuantumCircuit, QuantumState
from qulacs.gate import X, DepolarizingNoise, DephasingNoise, Probabilistic, RX
state = QuantumState(1)
circuit = QuantumCircuit(1)
noise = DepolarizingNoise(0, 0)
circuit.add_gate(noise)
circuit.add_gate(noise.copy())
circuit.add_gate(DephasingNoise(0, 0))
circuit.add_gate(Probabilistic([0.1], [RX(0, 0)]))
gate = RX(0, 0)
circuit.add_gate(gate)
circuit.add_gate(gate)
circuit.add_gate(gate)
circuit.add_gate(gate)
circuit.add_gate(gate)
del gate
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.update_quantum_state(state)
circuit.to_string()
del circuit
del state
def test_circuit_add_parametric_gate(self):
from qulacs import ParametricQuantumCircuit, QuantumState
from qulacs.gate import Identity, X, Y, Z, H, S, Sdag, T, Tdag, sqrtX, sqrtXdag, sqrtY, sqrtYdag
from qulacs.gate import P0, P1, U1, U2, U3, RX, RY, RZ, CNOT, CZ, SWAP, TOFFOLI, FREDKIN, Pauli, PauliRotation
from qulacs.gate import DenseMatrix, SparseMatrix, DiagonalMatrix, RandomUnitary, ReversibleBoolean, StateReflection
from qulacs.gate import BitFlipNoise, DephasingNoise, IndependentXZNoise, DepolarizingNoise, TwoQubitDepolarizingNoise, AmplitudeDampingNoise, Measurement
from qulacs.gate import merge, add, to_matrix_gate, Probabilistic, CPTP, Instrument, Adaptive
from qulacs.gate import ParametricRX, ParametricRY, ParametricRZ, ParametricPauliRotation
from scipy.sparse import lil_matrix
qc = ParametricQuantumCircuit(3)
qs = QuantumState(3)
ref = QuantumState(3)
sparse_mat = lil_matrix((4, 4))
sparse_mat[0, 0] = 1
sparse_mat[1, 1] = 1
def func(v, d):
return (v + 1) % d
def adap(v):
return True
gates = [
Identity(0), X(0), Y(0), Z(0), H(0), S(0), Sdag(0), T(0), Tdag(0), sqrtX(0), sqrtXdag(0), sqrtY(0), sqrtYdag(0),
Probabilistic([0.5, 0.5], [X(0), Y(0)]), CPTP([P0(0), P1(0)]), Instrument([P0(0), P1(0)], 1), Adaptive(X(0), adap),
CNOT(0, 1), CZ(0, 1), SWAP(0, 1), TOFFOLI(0, 1, 2), FREDKIN(0, 1, 2), Pauli([0, 1], [1, 2]), PauliRotation([0, 1], [1, 2], 0.1),
DenseMatrix(0, np.eye(2)), DenseMatrix([0, 1], np.eye(4)), SparseMatrix([0, 1], sparse_mat),
DiagonalMatrix([0, 1], np.ones(4)), RandomUnitary([0, 1]), ReversibleBoolean([0, 1], func), StateReflection(ref),
BitFlipNoise(0, 0.1), DephasingNoise(0, 0.1), IndependentXZNoise(0, 0.1), DepolarizingNoise(0, 0.1), TwoQubitDepolarizingNoise(0, 1, 0.1),
AmplitudeDampingNoise(0, 0.1), Measurement(0, 1), merge(X(0), Y(1)), add(X(0), Y(1)), to_matrix_gate(X(0)),
P0(0), P1(0), U1(0, 0.), U2(0, 0., 0.), U3(0, 0., 0., 0.), RX(0, 0.), RY(0, 0.), RZ(0, 0.),
]
gates.append(merge(gates[0], gates[1]))
gates.append(add(gates[0], gates[1]))
parametric_gates = [
ParametricRX(0, 0.1), ParametricRY(0, 0.1), ParametricRZ(0, 0.1), ParametricPauliRotation([0, 1], [1, 1], 0.1)
]
ref = None
for gate in gates:
qc.add_gate(gate)
for gate in gates:
qc.add_gate(gate)
for pgate in parametric_gates:
qc.add_parametric_gate(pgate)
for pgate in parametric_gates:
qc.add_parametric_gate(pgate)
qc.update_quantum_state(qs)
qc = None
qs = None
for gate in gates:
gate = None
for pgate in parametric_gates:
gate = None
gates = None
parametric_gates = None