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.
Hybrid quantum optimization in the con- text of minimizing traffic congestion
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Optimization-free Recursive QAOA solves the Binary Paint Shop Problem near-optimally with reduced quantum resources and robustness to parameter choice compared to standard QAOA.
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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Optimisation-Free Recursive QAOA for the Binary Paint Shop Problem
Optimization-free Recursive QAOA solves the Binary Paint Shop Problem near-optimally with reduced quantum resources and robustness to parameter choice compared to standard QAOA.