An LLM-guided closed-loop policy search framework discovers adaptive configurations for variational quantum optimization that outperform static baselines on MIS and CVRP instances while highlighting the need for staged confirmation.
A comparative study of quantum optimization techniques for solving combinatorial optimization bench- mark problems, 2025
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AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization
An LLM-guided closed-loop policy search framework discovers adaptive configurations for variational quantum optimization that outperform static baselines on MIS and CVRP instances while highlighting the need for staged confirmation.