Miniaturized chaos-assisted Spectrometer

Yujia Zhang; Chaojun Xu; Zhenyu Zhao; Yikai Su; Xuhan Guo

doi:10.1038/s41377-025-01984-x

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Miniaturized chaos-assisted Spectrometer

Original Articles

- Miniaturized chaos-assisted Spectrometer
- Light: Science & Applications Vol. 14, Issue 11, Pages: 3536-3549(2025)
- Affiliations：
  
  State Key Laboratory of Photonics and Communications, School of Information and Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
- Author bio：
  
  Yikai Su (yikaisu@sjtu.edu.cn)
  Xuhan Guo (guoxuhan@sjtu.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-01984-x
  CLC：
- Received：22 January 2025，
  
  Revised：2025-06-19，
  
  Accepted：24 July 2025，
  
  Published Online：18 September 2025，
  
  Published：30 November 2025
- Accepted：
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Zhang, Y. J. et al. Miniaturized chaos-assisted Spectrometer. Light: Science & Applications, 14, 3536-3549 (2025).
DOI：

Zhang, Y. J. et al. Miniaturized chaos-assisted Spectrometer. Light: Science & Applications, 14, 3536-3549 (2025). DOI： 10.1038/s41377-025-01984-x.

摘要

Abstract

Computational spectrometers are at the forefront of spectroscopy

promising portable

on-chip

or in-situ spectrum analysis through the integration of advanced computational techniques into optical systems. However

existing computational spectrometer systems have yet to fully exploit optical properties due to imperfect spectral responses

resulting in increased system complexity and compromised performance in resolution

bandwidth

and footprint. In this study

we introduce optical chaos into spectrum manipulation via cavity deformation

leveraging high spatial and spectral complexities to address this challenge. By utilizing a single chaotic cavity

we achieve high diversity in spectra

facilitating channel decorrelation of 10 pm and ensuring optimal reconstruction over 100 nm within an ultra-compact footprint of 20 × 22 μm

as well as an ultra-low power consumption of 16.5 mW. Our approach not only enables state-of-the-art on-chip spectrometer performance in resolution-bandwidth-footprint metric

but also has the potential to revolutionize the entire computational spectrometer ecosystem.

关键词

Keywords

references

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