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test_spinchain.py
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test_spinchain.py
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# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the QuTiP: Quantum Toolbox in Python nor the names
# of its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
###############################################################################
import numpy as np
from numpy.testing import assert_, run_module_suite
from qutip.qip.gates import *
from qutip.qip.circuit import *
from qutip.qip.models.circuitprocessor import CircuitProcessor
from qutip.qip.models.spinchain import *
class TestSpinChain:
"""
A test class for the QuTiP functions for physical implementation of
linear and circular spin chain models.
"""
def linear_ISWAP(self):
"""
Linear Spin Chain Setup: compare unitary matrix for ISWAP and
propogator matrix of the implemented physical model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("ISWAP", targets=[0, 1])
U_ideal = gate_sequence_product(qc1.propagators())
p = LinearSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
def linear_SQRTISWAP(self):
"""
Linear Spin Chain Setup: compare unitary matrix for SQRTISWAP and
propogator matrix of the implemented physical model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("SQRTISWAP", targets=[0, 1])
U_ideal = gate_sequence_product(qc1.propagators())
p = LinearSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
def linear_combination(self):
"""
Linear Spin Chain Setup: compare unitary matrix for ISWAP, SQRTISWAP,
RX and RY gates and the propogator matrix of the implemented physical
model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("ISWAP", targets=[0, 1])
qc1.add_gate("SQRTISWAP", targets=[0, 1])
qc1.add_gate("RZ", arg_value=pi/2, arg_label=r"\pi/2", targets=[1])
qc1.add_gate("RX", arg_value=pi/2, arg_label=r"\pi/2", targets=[0])
U_ideal = gate_sequence_product(qc1.propagators())
p = LinearSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
def circular_ISWAP(self):
"""
Circular Spin Chain Setup: compare unitary matrix for ISWAP and
propogator matrix of the implemented physical model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("ISWAP", targets=[0, 1])
U_ideal = gate_sequence_product(qc1.propagators())
p = CircularSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
def circular_SQRTISWAP(self):
"""
Circular Spin Chain Setup: compare unitary matrix for SQRTISWAP and
propogator matrix of the implemented physical model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("SQRTISWAP", targets=[0, 1])
U_ideal = gate_sequence_product(qc1.propagators())
p = CircularSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
def circular_combination(self):
"""
Linear Spin Chain Setup: compare unitary matrix for ISWAP, SQRTISWAP,
RX and RY gates and the propogator matrix of the implemented physical
model.
"""
N = 3
qc1 = QubitCircuit(N)
qc1.add_gate("ISWAP", targets=[0, 1])
qc1.add_gate("SQRTISWAP", targets=[0, 1])
qc1.add_gate("RZ", arg_value=pi/2, arg_label=r"\pi/2", targets=[1])
qc1.add_gate("RX", arg_value=pi/2, arg_label=r"\pi/2", targets=[0])
U_ideal = gate_sequence_product(qc1.propagators())
p = CircularSpinChain(N, correct_global_phase=True)
U_list = p.run(qc)
U_physical = gate_sequence_product(U_list)
assert_((U_ideal - U_physical).norm() < 1e-12)
if __name__ == "__main__":
run_module_suite()