def ansatz_circuit(n_qubit, depth, theta_list):
circuit = QuantumCircuit(n_qubit)
for i in range(n_qubit):
circuit.add_gate(RY(i, theta_list[i]))
for d in range(depth):
for i in range(1, n_qubit):
circuit.add_H_gate(i)
for j in range(n_qubit - 1):
circuit.add_CNOT_gate(j, j + 1)
circuit.add_gate(RY(j, theta_list[n_qubit * (1 + d) + j]))
circuit.add_H_gate(j + 1)
circuit.add_gate(
RY(n_qubit - 1, theta_list[n_qubit * (1 + d) + n_qubit - 1]))
return circuit
def test_circuit_add_gate(self):
from qulacs import QuantumCircuit, 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 scipy.sparse import lil_matrix
qc = QuantumCircuit(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]))
ref = None
for gate in gates:
qc.add_gate(gate)
for gate in gates:
qc.add_gate(gate)
qc.update_quantum_state(qs)
qc = None
qs = None
for gate in gates:
gate = None
gates = None
parametric_gates = None
def __get_CRY(q0, q1, phase):
gate = to_matrix_gate(RY(q1, phase))
gate.add_control_qubit(q0, 1)
return gate