added extended google supremacy
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02_cirq.py
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02_cirq.py
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import cirq
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# Pick a qubit.
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qubit = cirq.GridQubit(0, 0)
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def main():
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# Pick a qubit.
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qubit = cirq.GridQubit(0, 0)
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# Create a circuit
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circuit = cirq.Circuit.from_ops(
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cirq.X(qubit)**0.5, # Square root of NOT.
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cirq.measure(qubit, key='m') # Measurement.
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)
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print("Circuit:")
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print(circuit)
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# Create a circuit
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circuit = cirq.Circuit.from_ops(
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cirq.X(qubit)**0.5, # Square root of NOT.
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cirq.measure(qubit, key='m') # Measurement.
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)
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print("Circuit:")
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print(circuit)
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# Simulate the circuit several times.
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simulator = cirq.Simulator()
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result = simulator.run(circuit, repetitions=20)
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print("Results:")
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print(result)
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# Simulate the circuit several times.
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simulator = cirq.Simulator()
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result = simulator.run(circuit, repetitions=20)
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print("Results:")
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print(result)
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# ----- Tutorial
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import cirq
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import numpy as np
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import matplotlib
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# Print Google's 72-qbit Bristlecone
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print(cirq.google.Bristlecone)
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# Use named Qubits
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a = cirq.NamedQubit("a")
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b = cirq.NamedQubit("b")
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c = cirq.NamedQubit("c")
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ops = [cirq.H(a), cirq.H(b), cirq.CNOT(b, c), cirq.H(b)]
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circuit = cirq.Circuit.from_ops(ops)
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print(circuit)
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for i, moment in enumerate(circuit):
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print('Moment {}: {}'.format(i, moment))
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if __name__ == "__main__":
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main()
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121788
papers/2019_suplementary_google_supremacy_paper.pdf
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121788
papers/2019_suplementary_google_supremacy_paper.pdf
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