Coupling-Grouped XY-QAOA enables joint anomaly-feature selection via a constraint-preserving grouped-angle QAOA variant, achieving 45.9-61.3% circuit depth reduction and larger feasible executions (64 qubits at p=2) on IBM Heron hardware compared to standard approaches.
Constrained quantum optimization for extractive summa- rization on a trapped-ion quantum computer.Scientific Reports, 12(1):17171, 2022
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REGRID-QAOA applies coherency-informed graph reduction and structured post-processing to QAOA to match Gurobi-optimal islanding quality on 9- to 57-bus systems while using fewer quantum resources than vanilla QAOA.
citing papers explorer
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Coupling-Grouped XY-QAOA for Joint Anomaly-Feature Selection
Coupling-Grouped XY-QAOA enables joint anomaly-feature selection via a constraint-preserving grouped-angle QAOA variant, achieving 45.9-61.3% circuit depth reduction and larger feasible executions (64 qubits at p=2) on IBM Heron hardware compared to standard approaches.
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REGRID-QAOA: A Resource-Efficient Hybrid QAOA Framework for Physics-Constrained Power System Islanding
REGRID-QAOA applies coherency-informed graph reduction and structured post-processing to QAOA to match Gurobi-optimal islanding quality on 9- to 57-bus systems while using fewer quantum resources than vanilla QAOA.