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"""
This module provides the circuit implementation for Quantum Fourier Transform.
"""
import numpy as np
import scipy.sparse as sp
from qutip.qip.operations.gates import snot, cphase, swap
from qutip.qip.circuit import QubitCircuit
from qutip.qobj import Qobj
__all__ = ['qft', 'qft_steps', 'qft_gate_sequence']
[docs]def qft(N=1):
"""
Quantum Fourier Transform operator on N qubits.
Parameters
----------
N : int
Number of qubits.
Returns
-------
QFT: qobj
Quantum Fourier transform operator.
"""
if N < 1:
raise ValueError("Minimum value of N can be 1")
N2 = 2 ** N
phase = 2.0j * np.pi / N2
arr = np.arange(N2)
L, M = np.meshgrid(arr, arr)
L = phase * (L * M)
L = np.exp(L)
dims = [[2] * N, [2] * N]
return Qobj(1.0 / np.sqrt(N2) * L, dims=dims)
[docs]def qft_steps(N=1, swapping=True):
"""
Quantum Fourier Transform operator on N qubits returning the individual
steps as unitary matrices operating from left to right.
Parameters
----------
N: int
Number of qubits.
swap: boolean
Flag indicating sequence of swap gates to be applied at the end or not.
Returns
-------
U_step_list: list of qobj
List of Hadamard and controlled rotation gates implementing QFT.
"""
if N < 1:
raise ValueError("Minimum value of N can be 1")
U_step_list = []
if N == 1:
U_step_list.append(snot())
else:
for i in range(N):
for j in range(i):
U_step_list.append(cphase(np.pi / (2 ** (i - j)), N,
control=i, target=j))
U_step_list.append(snot(N, i))
if swapping:
for i in range(N // 2):
U_step_list.append(swap(N, [N - i - 1, i]))
return U_step_list
[docs]def qft_gate_sequence(N=1, swapping=True):
"""
Quantum Fourier Transform operator on N qubits returning the gate sequence.
Parameters
----------
N: int
Number of qubits.
swap: boolean
Flag indicating sequence of swap gates to be applied at the end or not.
Returns
-------
qc: instance of QubitCircuit
Gate sequence of Hadamard and controlled rotation gates implementing
QFT.
"""
if N < 1:
raise ValueError("Minimum value of N can be 1")
qc = QubitCircuit(N)
if N == 1:
qc.add_gate("SNOT", targets=[0])
else:
for i in range(N):
for j in range(i):
qc.add_gate("CPHASE", targets=[j], controls=[i],
arg_label=r"{\pi/2^{%d}}" % (i - j),
arg_value=np.pi / (2 ** (i - j)))
qc.add_gate("SNOT", targets=[i])
if swapping:
for i in range(N // 2):
qc.add_gate("SWAP", targets=[N - i - 1, i])
return qc