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ParallelNoiseSimulationTest.py
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#!/usr/bin/python3
# -*- coding: utf8 -*-
# Copyright (c) 2022 Baidu, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
This is a complex noisy circuit to test how well bulid-in multi-process works
"""
from QCompute import *
import sys
import random
import time
from QCompute.Define import Settings
Settings.outputInfo = False
sys.path.append('../..')
matchSdkVersion('Python 3.3.3')
def self_defined_noisy_circuit() -> 'QEnv':
"""
A self defined noisy random H + CX + RX circuit
"""
# Create environment
env = QEnv()
# Choose backend Baidu local simulator
env.backend(BackendName.LocalBaiduSim2)
# Number of qubits, no larger than 20
num_qubit = 13
# Number of gates in each for loop
gate_num = 3 # Depth of circuit = num_qubit * gate_num
assert num_qubit > 2
assert gate_num > 2
# Initialize a QCompute circuit
q = env.Q.createList(num_qubit)
# A noisy random H + CX + RX circuit
for i in range(num_qubit - 1):
H(q[i])
CX(q[i], q[i + 1])
# Random rotation angles
rotation_list = [random.uniform(0, 6.28) for _ in range(gate_num - 2)]
# random quantum registers
qreg_list = [random.randint(0, num_qubit - 1) for _ in range(gate_num - 2)]
for i in range(gate_num - 2):
RX(rotation_list[i])(q[qreg_list[i]])
# Measure with the computational basis
MeasureZ(*env.Q.toListPair())
# Define noise instances
# Define a Bit Flip noise instance
bfobj = BitFlip(0.1)
# Define a 2-qubit Depolarizing noise instance
dpobj = Depolarizing(2, 0.1)
# Add noises
env.noise(['H', 'RX'], [bfobj])
env.noise(['CX'], [dpobj])
return env
def main():
"""
main
"""
# Ture off multi-process in noisy simulator for comparison
# Settings.noiseMultiprocessingSimulator = False
env = self_defined_noisy_circuit()
# Commit the task with 1024 shots
env.commit(1024, fetchMeasure=True)
if __name__ == '__main__':
Settings.noiseMultiprocessingSimulator = False
start = time.time()
main()
print('Noise single processing simulator time costs:', time.time() - start, 's')
Settings.noiseMultiprocessingSimulator = True
start = time.time()
main()
print('Noise multi processing simulator time costs:', time.time() - start, 's')