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.
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UNVERDICTED 2representative citing papers
QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.
citing papers explorer
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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.
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Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.