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Leaving Quantum Bias on the Table: Pushforwards as a Path to Quantum Advantage in Constrained Optimization
Constrained quantum samplers often produce infeasible outputs that retain information about good feasible solutions. We develop a post-measurement framework that constructs problem-dependent classical feasibility maps from constraint-violation statistics and pushes the raw quantum sampling law forwa
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