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 -