174 lines
5.6 KiB
Python
174 lines
5.6 KiB
Python
import random
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from collections import defaultdict
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import numpy as np
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from lib import *
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def test_krisi_measurement_2():
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CASE_IDENTICAL = "identical"
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CASE_ORTHOGONAL = "orthogonal"
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def perform_exp(case):
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# produce angles with uniform distribution on the sphere
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t = round(np.random.uniform(0, 1), 10)
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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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q0 = State.from_bloch_angles(theta0, phi0)
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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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else:
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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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q1 = State.from_bloch_angles(theta1, phi1)
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# Measure in the Bell's basis
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st = State(q0 * q1)
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meas = st.measure(basis=bell_basis)
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return meas
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correct = 0
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cases = defaultdict(int)
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results = defaultdict(int)
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for i in range(1000):
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case = random.choice([CASE_IDENTICAL, CASE_ORTHOGONAL])
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cases[case] += 1
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result = perform_exp(case=case)
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results[result] += 1
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if result == '11':
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guess = CASE_ORTHOGONAL
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assert guess == case
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else:
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guess = CASE_IDENTICAL
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if guess == case:
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correct += 1
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print("Correct: {}".format(correct))
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# print("Results: {}".format(results))
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# print("Cases: {}".format(cases))
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def test_krisi_measurement_3():
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iterations = 400
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beta = np.pi * 0.62
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CASE_ID_ID = "id_id"
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CASE_ID_ORT = "id_ort"
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CASE_ORT_ID = "ort_id"
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CASE_ORT_ORT = "ort_ort"
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case_choices = [CASE_ID_ID, CASE_ID_ORT, CASE_ORT_ID, CASE_ORT_ORT]
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b_0 = State(1 / np.sqrt(2) * (s("|100>") - s("|010>")))
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b_1 = State(1 / np.sqrt(2) * (s("|011>") - s("|101>")))
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basis = [
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s("|000>"),
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State(np.cos(beta) * b_0 + np.sin(beta) * s("|001>")),
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State(-np.sin(beta) * b_0 + np.cos(beta) * s("|001>")),
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b_0,
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b_1,
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State(np.cos(beta) * b_1 + np.sin(beta) * s("|001>")),
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State(-np.sin(beta) * b_1 + np.cos(beta) * s("|001>")),
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s("|111>"),
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]
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def perform_exp(case):
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# produce angles with uniform distribution on the sphere
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t = round(np.random.uniform(0, 1), 10)
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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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q1 = State.from_bloch_angles(theta0, phi0)
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# rotate the 1st qubit depending on the case we are exploring...
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if case == CASE_ID_ID:
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theta1, phi1 = theta0, phi0
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theta2, phi2 = theta0, phi0
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elif case == CASE_ID_ORT:
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theta1, phi1 = theta0, phi0
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theta2, phi2 = theta0 + np.pi, phi0
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elif case == CASE_ORT_ID:
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theta1, phi1 = theta0 + np.pi, phi0
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theta2, phi2 = theta0, phi0
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else:
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# CASE_ORT_ORT
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theta1, phi1 = theta0 + np.pi, phi0
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theta2, phi2 = theta0 + np.pi, phi0
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q2 = State.from_bloch_angles(theta1, phi1)
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q1q2_st = State(q1*q2)
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meas1 = q1q2_st.measure(basis=bell_basis)
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if meas1 == '11':
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return 'discarded'
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# TODO:
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# P_minus = b_psi_m.x(b_psi_m)
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P_s = b_psi_p.x(b_psi_p) + b_phi_m.x(b_phi_m) + b_phi_p.x(b_phi_p)
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post_state = State(MeasurementOperator(P_s.m).on(q1q2_st))
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if case == CASE_ID_ID:
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assert post_state == q1q2_st
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elif case in [CASE_ORT_ID, CASE_ORT_ORT]:
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assert post_state != q1q2_st
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q3 = State.from_bloch_angles(theta2, phi2)
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meas = State(post_state * q3).measure(basis=basis)
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# # TODO: This part measures the first two qubits in Bell basis, then:
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# # 1. constructs a new pure state
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# # (e.g. if result was 11, constructs |11>)
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# # 2. Combines this new pure state with the third qubit
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# MEASURE_FIRST_BELL = False
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# if MEASURE_FIRST_BELL:
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# # Measure in the Bell's basis
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# st = State(q1 * q2)
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# meas = st.measure(basis=bell_basis)
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# new_st = s("|" + meas + ">")
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# st = State(new_st * q3)
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# else:
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# # TODO: -OR- alternatively - measure all three without measuring in
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# # Bell first
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# st = State(q1 * q2 * q3)
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#
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# # Measure in the 8D basis
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# meas = st.measure(basis=basis)
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return meas
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def krisi_3_format_results(results):
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all_pos = generate_bins(8)
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print("Results:")
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for case in case_choices:
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rv = results.get(case)
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print("{}:".format(case))
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print(" raw : {}".format(sorted(rv.items())))
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case_total = sum(rv.values())
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print(" total: {}".format(case_total))
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for pos in all_pos:
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value = rv.get(pos, 0)
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percent = (value / case_total)*100
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print(" {} : {:3d} ({:.1f}%)".format(pos, value, percent))
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results = defaultdict(lambda: defaultdict(int))
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for i in range(iterations):
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case = random.choice(case_choices)
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result = perform_exp(case=case)
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results[case][result] += 1
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krisi_3_format_results(results)
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if __name__ == "__main__":
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# test_krisi_measurement_2()
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test_krisi_measurement_3()
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