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.
Fisher and Ramchandran Jaikumar
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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.