QAOA with max-probability bitstring cut value objective, Bayesian optimization, and dual-criteria adaptive shots matches conventional MaxCut quality while using fewer total measurements.
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Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation
QAOA with max-probability bitstring cut value objective, Bayesian optimization, and dual-criteria adaptive shots matches conventional MaxCut quality while using fewer total measurements.