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This notebook shows how to generate data for discrete quantum walk using pytket 1.34.0
# import time# from pytket.circuit import Circuit, CircBox, OpType, QControlBox# from pytket.extensions.qiskit import AerBackend# from pytket.passes import DecomposeBoxes, SynthesiseTket
# SIZE = 6# backend = AerBackend()# # mcx from control on X# def mcx_gate(num_ctrl_qubits):# my_mcx_gate = QControlBox(CircBox(Circuit(1).X(0)), num_ctrl_qubits)# return my_mcx_gate# # get increment circuit as an MCX cascade# def get_increment_circuit(num_qubits):# increment_circuit = Circuit(num_qubits)# for j in range(num_qubits - 1):# increment_circuit.add_gate(mcx_gate(num_qubits-1-j),[k for k in range(num_qubits-j)])# increment_circuit.X(0)# return increment_circuit# # run an example# start_time = time.time()# q_walk_step = Circuit(SIZE+1)# q_walk_step.H(0)# q_walk_step.add_gate(QControlBox(CircBox(get_increment_circuit(SIZE))),# [k for k in range(SIZE+1)])# q_walk_step.add_gate(QControlBox(CircBox(get_increment_circuit(SIZE)).dagger,n_controls=1,# control_state=[0]),[k for k in range(SIZE+1)])# DecomposeBoxes().apply(q_walk_step)# SynthesiseTket().apply(q_walk_step)# compiled_circ = backend.get_compiled_circuit(q_walk_step)# transpilation_time = time.time()-start_time# depth = compiled_circ.depth()# cx_counts = compiled_circ.n_gates_of_type(OpType.CX)# width = compiled_circ.n_qubits# print(f'==== tket for {SIZE}==== time {transpilation_time}')
