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PreprintCC BY 4.0arXiv

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

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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BibTeX
@misc{zhu2026datadriven,
  title = {{Data-driven structural diagnostics and autonomous alignment of complex optical systems}},
  author = {Peng Zhu and Chen Chen and Shuchang Ma and Dezhou Deng and J. F. Chen and Peng Chen},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.05984},
  eprint = {2609.05984},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.05984},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Data-driven structural diagnostics and autonomous alignment of complex optical systems
AU  - Peng Zhu
AU  - Chen Chen
AU  - Shuchang Ma
AU  - Dezhou Deng
AU  - J. F. Chen
AU  - Peng Chen
PY  - 2026
DA  - 2026/09/05
PB  - arXiv
DO  - 10.48550/arxiv.2609.05984
UR  - https://arxiv.org/abs/2609.05984
AB  - 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.
ER  -