93 lines
2.2 KiB
Python
93 lines
2.2 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
Created on Fri Jan 31 13:37:47 2020
|
|
|
|
@author: kidiki
|
|
"""
|
|
|
|
import numpy as np
|
|
from qiskit import (
|
|
QuantumCircuit,
|
|
execute,
|
|
Aer)
|
|
from qiskit.visualization import plot_histogram, plot_bloch_vector
|
|
from matplotlib import pyplot as plt
|
|
|
|
from scipy.stats import unitary_group
|
|
from collections import defaultdict
|
|
|
|
from qiskit.quantum_info.random.utils import random_state
|
|
|
|
# Use Aer's qasm_simulator
|
|
simulator = Aer.get_backend('qasm_simulator')
|
|
|
|
def create_bloch_vector(theta, phi):
|
|
x =np.sin(theta)*np.cos(phi)
|
|
y =np.sin(theta)*np.sin(phi)
|
|
z =np.cos(theta)
|
|
return [x,y,z]
|
|
|
|
|
|
def perform_exp(iterations=100):
|
|
simulator = Aer.get_backend('qasm_simulator')
|
|
all_counts = defaultdict(int)
|
|
|
|
for i in range(iterations):
|
|
qc = QuantumCircuit(2, 2)
|
|
|
|
# uniform distribution on the sphere
|
|
t = round(np.random.uniform(0, 1), 10)
|
|
theta = np.arccos(1 - 2 * t)
|
|
phi = round(np.random.uniform(0, 2 * np.pi), 10)
|
|
|
|
# 0_case, identical states
|
|
# qc.r(theta, phi, 0)
|
|
# qc.r(theta, phi, 1)
|
|
|
|
# 1_case, orthogonal states on the same meridian
|
|
# qc.r(theta, phi, 0)
|
|
# qc.r(theta+np.pi, phi, 1)
|
|
|
|
# my_case, phase difference DOESNT WORK
|
|
phi1 = 2 * np.pi - phi
|
|
qc.r(theta, phi, 0)
|
|
qc.r(theta, phi1, 1)
|
|
|
|
# print(theta, phi, phi1)
|
|
|
|
# q0 = create_bloch_vector(theta, phi)
|
|
# plot_bloch_vector(q0)
|
|
# plt.show()
|
|
#
|
|
# q1 = create_bloch_vector(theta, phi1)
|
|
# plot_bloch_vector(q1)
|
|
# plt.show()
|
|
|
|
|
|
# Measure in the Bell's basis
|
|
qc.cx(0, 1)
|
|
qc.h(0)
|
|
# qc.measure_all()
|
|
qc.measure([0, 1], [0, 1])
|
|
|
|
# print(qc)
|
|
|
|
job = execute(qc, simulator, shots=1)
|
|
result = job.result()
|
|
# print(result)
|
|
counts = result.get_counts(qc)
|
|
|
|
# print(counts.keys())
|
|
|
|
for k, v in counts.items():
|
|
all_counts[k] += v
|
|
|
|
print("\nTotal counts are:\n")
|
|
for k, v in sorted(all_counts.items(), key=lambda x: x[0]):
|
|
print("{}: {}".format(k, v))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
perform_exp()
|