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arXiv · 2609.05984

Data-driven structural diagnostics and autonomous alignment of complex optical systems

Peng Zhu·Chen Chen·Shuchang Ma·Dezhou Deng·J. F. Chen·Peng Chen
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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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Peng Zhu, Chen Chen, Shuchang Ma, Dezhou Deng, J. F. Chen, Peng Chen. 2026-09-05. Data-driven structural diagnostics and autonomous alignment of complex optical systems. https://arxiv.org/abs/2609.05984

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