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* DRAFT: GitHub Actions: Test on Python 3.12 Repeats #8777 * #8777 Some of our dependencies will not be ready yet. * Python 3.12: Disable qiskit and tensorflow algorithms * updating DIRECTORY.md --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
#!/usr/bin/env python3
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"""
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Build a quantum circuit with pair or group of qubits to perform
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quantum entanglement.
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Quantum entanglement is a phenomenon observed at the quantum scale
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where entangled particles stay connected (in some sense) so that
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the actions performed on one of the particles affects the other,
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no matter the distance between two particles.
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"""
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import qiskit
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def quantum_entanglement(qubits: int = 2) -> qiskit.result.counts.Counts:
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"""
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# >>> quantum_entanglement(2)
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# {'00': 500, '11': 500}
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# ┌───┐ ┌─┐
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# q_0: ┤ H ├──■──┤M├───
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# └───┘┌─┴─┐└╥┘┌─┐
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# q_1: ─────┤ X ├─╫─┤M├
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# └───┘ ║ └╥┘
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# c: 2/═══════════╩══╩═
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# 0 1
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Args:
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qubits (int): number of quibits to use. Defaults to 2
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Returns:
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qiskit.result.counts.Counts: mapping of states to its counts
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"""
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classical_bits = qubits
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# Using Aer's simulator
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simulator = qiskit.Aer.get_backend("aer_simulator")
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# Creating a Quantum Circuit acting on the q register
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circuit = qiskit.QuantumCircuit(qubits, classical_bits)
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# Adding a H gate on qubit 0 (now q0 in superposition)
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circuit.h(0)
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for i in range(1, qubits):
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# Adding CX (CNOT) gate
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circuit.cx(i - 1, i)
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# Mapping the quantum measurement to the classical bits
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circuit.measure(list(range(qubits)), list(range(classical_bits)))
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# Now measuring any one qubit would affect other qubits to collapse
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# their super position and have same state as the measured one.
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# Executing the circuit on the simulator
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job = qiskit.execute(circuit, simulator, shots=1000)
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return job.result().get_counts(circuit)
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if __name__ == "__main__":
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print(f"Total count for various states are: {quantum_entanglement(3)}")
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