QAOA-based QuSO achieves end-to-end speedup over classical baselines for power grid unit commitment with up to 14 qubits using 16 layers in high-load scenarios via efficient classical pre-computation.
A quantum approximate optimization algorithm
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Applies QITE to UD-MIS on 6-10 qubit instances, reports relatively small failure probability that decreases with shots, and derives a theoretical upper bound on failure probability.
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End-to-End Speedup for Quantum Simulation-Based Optimization in Power Grid Management
QAOA-based QuSO achieves end-to-end speedup over classical baselines for power grid unit commitment with up to 14 qubits using 16 layers in high-load scenarios via efficient classical pre-computation.
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Quantum imaginary time evolution and UD-MIS problem
Applies QITE to UD-MIS on 6-10 qubit instances, reports relatively small failure probability that decreases with shots, and derives a theoretical upper bound on failure probability.