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* Trying to time every solution * Proposal 2 for timing PE solutions: - Use pytest fixture along with --capture=no flag to print out the top DURATIONS slowest solution at the end of the test sessions. - Remove the print part and try ... except ... block from the test function. * Proposal 3 for timing PE solutions: Completely changed the way I was performing the tests. Instead of parametrizing the problem numbers and expected output, I will parametrize the solution file path. Steps: - Collect all the solution file paths - Convert the paths into a Python module - Call solution on the module - Assert the answer with the expected results For assertion, it was needed to convert the JSON list object to Python dictionary object which required changing the JSON file itself. * Add type hints for variables * Fix whitespace in single_qubit_measure
35 lines
1.1 KiB
Python
Executable File
35 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Build a simple bare-minimum quantum circuit that starts with a single
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qubit (by default, in state 0), runs the experiment 1000 times, and
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finally prints the total count of the states finally observed.
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Qiskit Docs: https://qiskit.org/documentation/getting_started.html
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"""
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import qiskit as q
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def single_qubit_measure(qubits: int, classical_bits: int) -> q.result.counts.Counts:
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"""
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>>> single_qubit_measure(1, 1)
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{'0': 1000}
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"""
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# Use Aer's qasm_simulator
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simulator = q.Aer.get_backend("qasm_simulator")
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# Create a Quantum Circuit acting on the q register
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circuit = q.QuantumCircuit(qubits, classical_bits)
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# Map the quantum measurement to the classical bits
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circuit.measure([0], [0])
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# Execute the circuit on the qasm simulator
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job = q.execute(circuit, simulator, shots=1000)
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# Return the histogram data of the results of the experiment.
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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: {single_qubit_measure(1, 1)}")
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