empty set photon
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@ -11,6 +11,7 @@ from load_test import sizeof_fmt
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ListOrNdarray = Union[list, np.ndarray]
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REPR_EMPTY_SET = "Ø"
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REPR_TENSOR_OP = "⊗"
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REPR_GREEK_BETA = "β"
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REPR_GREEK_PSI = "ψ"
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@ -263,8 +264,10 @@ class State(Vector):
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if self.measurement_result:
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return self.measurement_result
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weights = [self.get_prob(j) for j in range(len(self))]
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empty_prob = 1.0 - sum(weights)
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format_str = self.get_fmt_of_element()
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choices = [format_str.format(i) for i in range(len(weights))]
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choices = [REPR_EMPTY_SET] + [format_str.format(i) for i in range(len(weights))]
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weights = [empty_prob] + weights
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self.measurement_result = random.choices(choices, weights)[0]
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return self.measurement_result
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@ -298,7 +301,7 @@ class State(Vector):
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measurement_result = random.choices(choices_0, weights_0)[0][qubit_n - 1]
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# TODO: Verify if this is the correct collapse to lower dimension after partial measurement
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# https://www.youtube.com/watch?v=MG_9JWsrKtM&list=PL1826E60FD05B44E4&index=16
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normalization_factor = np.sqrt(np.sum(np.abs([self.m[i][0] for i in indexes_for_p_0])**2))
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normalization_factor = np.sqrt(np.sum(np.abs([self.m[i][0] for i in indexes_for_p_0]) ** 2))
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# TODO: This can be 0...
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post_measurement_state = [
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[self.m[i][0] / normalization_factor] for i in indexes_for_p_0
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@ -609,6 +612,11 @@ class TwoQubitOperator(UnitaryOperator):
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Define States and Operators
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"""
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# EMPTY STATE
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_E = State([[0],
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[0]],
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name=REPR_EMPTY_SET)
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_0 = State([[1],
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[0]],
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name='0')
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@ -706,6 +714,7 @@ CNOT = TwoQubitOperator([
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[0, 0, 1, 0],
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], C_partial, x_partial, I, X)
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# TOFFOLLI_GATE = ThreeQubitOperator([
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# [1, 0, 0, 0, 0, 0, 0, 0],
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# [0, 1, 0, 0, 0, 0, 0, 0],
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3
play.py
3
play.py
@ -1,5 +1,5 @@
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import numpy as np
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from lib_q_computer_math import Vector, Matrix, MeasurementOperator, _0, _1, _p, normalize_state
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from lib_q_computer_math import Vector, Matrix, MeasurementOperator, _0, _1, _p, normalize_state, State
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def main():
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@ -8,6 +8,7 @@ def main():
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hor_filter = MeasurementOperator.create_from_prob(Matrix(_0.m), name='h')
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diag_filter = MeasurementOperator.create_from_prob(Matrix(_p.m), name='d')
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ver_filter = MeasurementOperator.create_from_prob(Matrix(_1.m), name='v')
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State(hor_filter.on(random_light).m).measure()
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print(hor_filter.on(_0))
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print(ver_filter.on(_0))
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print(ver_filter.on(hor_filter.on(_0)))
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