Agentic AI for Scalable and Robust Optical Systems Control
The results demonstrate that AgentOptics provides a scalable and robust interface for natural-language-driven control and orchestration of heterogeneous optical devices and systems.
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The results demonstrate that AgentOptics provides a scalable and robust interface for natural-language-driven control and orchestration of heterogeneous optical devices and systems.
This work releases AxQM, 1,019 kernel-checkable proof-synthesis tasks over 479 items drawn from the textbook Quantum Computation and Quantum Information by Nielsen and Chuang, which is the largest proof-synthesis benchmark in physics by a factor of four.
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