2020-03-16 19:14:51 +01:00
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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 collections import defaultdict
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2020-03-16 20:03:08 +01:00
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CASE_IDENTICAL = "identical"
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CASE_ORTHOGONAL = "orthogonal"
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2020-03-16 19:14:51 +01:00
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2020-03-16 20:03:08 +01:00
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def perform_exp(iterations, case):
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# Use Aer's qasm_simulator
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2020-03-16 19:14:51 +01:00
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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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2020-03-16 20:03:08 +01:00
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# produce angles with uniform distribution on the sphere
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2020-03-16 19:14:51 +01:00
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t = round(np.random.uniform(0, 1), 10)
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2020-03-16 20:03:08 +01:00
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theta0 = np.arccos(1 - 2 * t)
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phi0 = round(np.random.uniform(0, 2 * np.pi), 10)
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# rotate the 0th qubit in (theta, phi)
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qc.r(theta0, phi0, 0)
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# rotate the 1st qubit depending on the case we are exploring...
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if case == CASE_IDENTICAL:
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# ... for identical we are rotating the 1st qubit the same angles as
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# the 0th
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theta1, phi1 = theta0, phi0
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elif case == CASE_ORTHOGONAL:
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# for orthogonal we rotate the 1st qubit in 90 degrees
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# orthogonal to the first
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theta1, phi1 = theta0 + np.pi, phi0
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# perform the rotation of the 1st qubit
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2020-03-16 19:14:51 +01:00
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qc.r(theta1, phi1, 1)
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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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2020-03-16 20:03:08 +01:00
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# measuring maps the 0/1 qubit register to the 0/1 classical register
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qc.measure([0, 1], [0, 1])
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2020-03-16 19:14:51 +01:00
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# execute the job
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job = execute(qc, simulator, shots=1)
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result = job.result()
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counts = result.get_counts(qc)
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2020-03-16 20:03:08 +01:00
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# update the counts of all experiments with the current run
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2020-03-16 19:14:51 +01:00
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for k, v in counts.items():
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all_counts[k] += v
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# gather all counts
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print("\nTotal counts for experiment '{}' are:\n".format(case))
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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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2020-03-16 20:03:08 +01:00
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perform_exp(iterations=100, case=CASE_IDENTICAL)
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perform_exp(iterations=100, case=CASE_ORTHOGONAL)
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