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
def main(): ## Example1 circuit = QuantumCircuit(3) circuit.add_X_gate(0) circuit.add_Y_gate(1) circuit.add_Z_gate(2) circuit.add_dense_matrix_gate([0,1], [[1,0,0,0],[0,1,0,0],[0,0,0,1],[0,0,1,0]]) circuit.add_CNOT_gate(2,0) circuit.add_X_gate(2) draw_circuit(circuit, verbose=1) ## Example2 circuit = QuantumCircuit(3) circuit.add_X_gate(0) circuit.add_Y_gate(1) circuit.add_dense_matrix_gate([0,1], [[1,0,0,0],[0,1,0,0],[0,0,0,1],[0,0,1,0]]) circuit.add_Z_gate(2) circuit.add_CNOT_gate(2,0) circuit.add_X_gate(2) draw_circuit(circuit, verbose=1) ## Example3 circuit = QuantumCircuit(3) circuit.add_X_gate(1) circuit.add_CZ_gate(0,2) circuit.add_X_gate(1) draw_circuit(circuit) ## Example4 circuit = QuantumCircuit(4) ##CCX0,2, 3 cx_gate = CNOT(2,3) cx_mat_gate = to_matrix_gate(cx_gate) control_index = 0 control_with_value = 1 cx_mat_gate.add_control_qubit(control_index, control_with_value) circuit.add_gate(cx_mat_gate) ##CCX1,2, 3 ccx = TOFFOLI(1,2, 3) circuit.add_gate(ccx) ##CCX1,2, 0 ccx = TOFFOLI(1,2, 0) circuit.add_gate(ccx) ##CCX1,3, 0 ccx = TOFFOLI(1,3, 0) circuit.add_gate(ccx) ##CCX1,3, 2 ccx = TOFFOLI(1,3, 2) circuit.add_gate(ccx) ##SWAP0,1 circuit.add_SWAP_gate(0,1) ##SWAP0,2 circuit.add_SWAP_gate(0,2) ##SWAP1,3 circuit.add_SWAP_gate(1,3) draw_circuit(circuit, verbose=1) ## Example5 circuit = QuantumCircuit(5) ## 3-qubit gate applied to [0,1,2] mat = np.identity(2**3) circuit.add_dense_matrix_gate([0,1,2], mat) ## 3-qubit gate applied to [0,3,4], and [1] qubit is control-qubit c_dense_gate = DenseMatrix([0,3,4], mat) control_index = 1 control_with_value = 1 c_dense_gate.add_control_qubit(control_index, control_with_value) circuit.add_gate(c_dense_gate) ## 3-qubit gate applied to [0,2,4] circuit.add_dense_matrix_gate([0,2,4], mat) ## SWAP gate aplied to [1,3], and [2] qubit is control-qubit swp_gate = to_matrix_gate(SWAP(1,3)) control_index = 2 control_with_value = 1 swp_gate.add_control_qubit(control_index, control_with_value) circuit.add_gate(swp_gate) draw_circuit(circuit)
def __get_CU3(q0, q1, phase, phase1, phase2): gate = to_matrix_gate(U3(q1, phase, phase1, phase2)) gate.add_control_qubit(q0, 1) return gate
def __get_CU1(q0, q1, phase): gate = to_matrix_gate(U1(q1, phase)) gate.add_control_qubit(q0, 1) return gate
def __get_CT_dg(q0, q1): gate = to_matrix_gate(Tdag(q1)) gate.add_control_qubit(q0, 1) return gate
def __get_CXR(q0, q1): gate = to_matrix_gate(sqrtX(q1)) gate.add_control_qubit(q0, 1) return gate