arXiv AI October 28, 2026 By Yichen Long, Keren Zhu

AnalogScout: Simulation-Efficient PVT-Aware Analog Sizing with LLM Agents

AnalogScout is a new framework that uses a large language model (LLM) agent to perform PVT-aware analog device sizing more efficiently. By reusing elite designs, applying analytic gm/Id local sizing, and refining globally under full-corner verification, it cuts power consumption by 43.3% compared to the CMA-ES evolution strategy while using the same 16,000 simulations on three SKY130 OTAs. The method also outperforms Bayesian optimization and other LLM-driven flows on the tested OTAs.

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