Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks

Chao Zuo; Qian Chen

doi:10.1038/s41377-022-00903-8

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Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks

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- Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks
- Light: Science & Applications Vol. 11, Issue 8, Pages: 1639-1642(2022)
- Affiliations：
  
  1.Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, Jiangsu Province, China
  2.Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, 210019, Nanjing, Jiangsu Province, China
  3.Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, 210094, Nanjing, Jiangsu Province, China
- Author bio：
  
  Chao Zuo (zuochao@njust.edu.cn)
- Funds：
- DOI：10.1038/s41377-022-00903-8
  CLC：
- Published：31 August 2022，
  
  Published Online：06 July 2022，
- Accepted：
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Zuo, C. & Chen Q. Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks. Light: Science & Applications, 11, 1639-1642 (2022).
DOI：

Zuo, C. & Chen Q. Exploiting optical degrees of freedom for information multiplexing in diffractive neural networks. Light: Science & Applications, 11, 1639-1642 (2022). DOI： 10.1038/s41377-022-00903-8.

摘要

Abstract

Exploiting internal degrees of freedom of light

such as polarization

provides efficient ways to scale the capacity of optical diffractive computing

which may ultimately lead to high-throughput

multifunctional all-optical diffractive processors that can execute a diverse range of tasks in parallel.

关键词

Keywords

references

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