Autonomous Control and Discovery in Quantum Color Center Experiments using a Digital Twin

Solid-state emitters are crucial for scalable quantum technologies, but their large-scale characterization is highly time-consuming. We integrate information-theoretic approaches with reinforcement learning to enable autonomous emitter characterization, significantly accelerating measurements and uncovering parameter dependencies.