62 lines
1.2 KiB
Python
62 lines
1.2 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Fri Jan 31 13:37:47 2020
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@author: kidiki
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"""
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import numpy as np
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from qiskit import (
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QuantumCircuit,
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execute,
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Aer)
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from qiskit.visualization import plot_histogram
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from scipy.stats import unitary_group
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from collections import defaultdict
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from qiskit.quantum_info.random.utils import random_state
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# Use Aer's qasm_simulator
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simulator = Aer.get_backend('qasm_simulator')
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def perform_exp(iterations=3):
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simulator = Aer.get_backend('qasm_simulator')
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all_counts = defaultdict(int)
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for i in range(iterations):
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qc = QuantumCircuit(2, 2)
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q0 = random_state(2)
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q1 = q0
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print(q0)
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# Measure in the Bell's basis
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qc.cx(0, 1)
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qc.h(0)
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# qc.measure_all()
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qc.measure([0, 1], [0, 1])
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# print(qc)
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job = execute(qc, simulator, shots=1)
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result = job.result()
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# print(result)
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counts = result.get_counts(qc)
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# print(counts.keys())
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for k, v in counts.items():
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all_counts[k] += v
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print("\nTotal counts are:\n")
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for k, v in sorted(all_counts.items(), key=lambda x: x[0]):
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print("{}: {}".format(k, v))
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if __name__ == "__main__":
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perform_exp()
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