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benchmark.py
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166 lines (125 loc) · 4.52 KB
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import click
import time
import random
import statistics
import csv
import os.path
import math
import random
from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit
from qiskit.wrapper import load_qasm_file
from qiskit import QISKitError, execute, Aer
from projectq import MainEngine
import projectq.ops as ops
from projectq.backends import Simulator
import qcgpu
# Implementation of the Quantum Fourier Transform
def construct_circuit(num_qubits):
q = QuantumRegister(num_qubits)
circ = QuantumCircuit(q)
# Quantum Fourier Transform
for j in range(num_qubits):
for k in range(j):
circ.cu1(math.pi/float(2**(j-k)), q[j], q[k])
circ.h(q[j])
return circ
# Benchmarking functions
qiskit_backend = Aer.get_backend('statevector_simulator')
eng = MainEngine(backend=Simulator(), engine_list=[])
# Setup the OpenCL Device
qcgpu.backend.create_context()
def bench_qiskit(qc):
start = time.time()
job_sim = execute(qc, qiskit_backend)
sim_result = job_sim.result()
return time.time() - start
def bench_qcgpu(num_qubits):
start = time.time()
state = qcgpu.State(num_qubits)
for j in range(num_qubits):
for k in range(j):
state.cu1(j, k, math.pi/float(2**(j-k)))
state.h(j)
state.backend.queue.finish()
return time.time() - start
def bench_projectq(num_qubits):
start = time.time()
q = eng.allocate_qureg(num_qubits)
for j in range(num_qubits):
for k in range(j):
ops.CRz(math.pi / float(2**(j-k))) | (q[j], q[k])
ops.H | q[j]
eng.flush()
t = time.time() - start
# measure to get rid of runtime error message
for j in q:
ops.Measure | j
return t
# Reporting
def create_csv(filename):
file_exists = os.path.isfile(filename)
csvfile = open(filename, 'a')
headers = ['name', 'num_qubits', 'time']
writer = csv.DictWriter(csvfile, delimiter=',', lineterminator='\n',fieldnames=headers)
if not file_exists:
writer.writeheader() # file doesn't exist yet, write a header
return writer
def write_csv(writer, data):
writer.writerow(data)
@click.command()
@click.option('--samples', default=5, help='Number of samples to take for each qubit.')
@click.option('--qubits', default=5, help='How many qubits you want to test for')
@click.option('--out', default='benchmark_data.csv', help='Where to store the CSV output of each test')
@click.option('--single', default=False, help='Only run the benchmark for a single amount of qubits, and print an analysis')
def benchmark(samples, qubits, out, single):
if single:
# functions = bench_qcgpu, bench_qiskit, bench_projectq
functions = bench_projectq,
times = {f.__name__: [] for f in functions}
names = []
means = []
qc = construct_circuit(qubits)
# Run the benchmarks
for i in range(samples):
progress = (i) / (samples)
if samples > 1:
print("\rProgress: [{0:50s}] {1:.1f}%".format('#' * int(progress * 50), progress*100), end="", flush=True)
func = random.choice(functions)
if func.__name__ != 'bench_qiskit':
t = func(qubits)
else:
t = func(qc)
times[func.__name__].append(t)
print('')
for name, numbers in times.items():
print('FUNCTION:', name, 'Used', len(numbers), 'times')
print('\tMEDIAN', statistics.median(numbers))
print('\tMEAN ', statistics.mean(numbers))
if len(numbers) > 1:
print('\tSTDEV ', statistics.stdev(numbers))
return
functions = bench_qcgpu, bench_qiskit, bench_projectq
# times = {f.__name__: [] for f in functions}
writer = create_csv(out)
for n in range(23, qubits):
# Progress counter
progress = (n+1) / (qubits)
print("\rProgress: [{0:50s}] {1:.1f}%".format('#' * int(progress * 50), progress*100), end="", flush=True)
# Construct the circuit
qc = construct_circuit(n+1)
# Run the benchmarks
for i in range(samples):
func = random.choice(functions)
if func.__name__ != 'bench_qiskit':
t = func(n + 1)
else:
t = func(qc)
# times[func.__name__].append(t)
write_csv(writer, {'name': func.__name__, 'num_qubits': n+1, 'time': t})
if __name__ == '__main__':
benchmark()
Finish = True;
if Finish == True:
SystemExit();
else:
random(SystemError);