利用光学自由度在衍射神经网络中进行信息复用。

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

作者信息

Zuo Chao, Chen Qian

机构信息

Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, Jiangsu Province, China.

Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, 210019, Nanjing, Jiangsu Province, China.

出版信息

Light Sci Appl. 2022 Jul 6;11(1):208. doi: 10.1038/s41377-022-00903-8.

DOI:10.1038/s41377-022-00903-8

PMID:35794086

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9259600/

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.

摘要

利用光的内部自由度，如偏振，提供了扩展光学衍射计算能力的有效方法，这最终可能会带来高通量、多功能的全光衍射处理器，能够并行执行各种不同的任务。