Data-driven structural diagnostics and autonomous alignment of complex optical systems
Peng Zhu, Chen Chen, Shuchang Ma, Dezhou Deng, J. F. Chen, Peng Chen
Abstract
The quest for autonomous alignment and maintenance of complex free-space optical systems is increasingly urgent for large-scale neutral-atom quantum processors. Leveraging a high-finesse optical cavity as a sensitive probe, we introduce a data-driven framework for structural diagnostics and closed-loop control that achieves cold-start convergence within tens of seconds. These results establish a rapid, scalable diagnostic-control methodology for autonomous alignment and continuous maintenance of complex free-space optical architectures.
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