All-optical logic gate computing for high-speed parallel information processing

Optical computing and optical neural network have gained increasing attention in recent years because of their potential advantages of parallel processing at the speed of light and low power consumption by comparison with electronic computing. The optical implementation of the fundamental building b...

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Bibliographic Details
Main Authors: Shuming Jiao, Junwei Liu, Liwen Zhang, Feihong Yu, Guomeng Zuo, Jingming Zhang, Fang Zhao, Weihao Lin, Liyang Shao
Format: Article
Language:English
Published: Editorial Office of Opto-Electronic Journals, Institute of Optics and Electronics, CAS, China 2022-08-01
Series:Opto-Electronic Science
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Online Access:https://www.oejournal.org/article/doi/10.29026/oes.2022.220010
Description
Summary:Optical computing and optical neural network have gained increasing attention in recent years because of their potential advantages of parallel processing at the speed of light and low power consumption by comparison with electronic computing. The optical implementation of the fundamental building blocks of a digital computer, i.e. logic gates, has been investigated extensively in the past few decades. Optical logic gate computing is an alternative approach to various analogue optical computing architectures. In this paper, the latest development of optical logic gate computing with different kinds of implementations is reviewed. Firstly, the basic concepts of analogue and digital computing with logic gates in the electronic and optical domains are introduced. And then a comprehensive summary of various optical logic gate schemes including spatial encoding of light field, semiconductor optical amplifiers (SOA), highly nonlinear fiber (HNLF), microscale and nanoscale waveguides, and photonic crystal structures is presented. To conclude, the formidable challenges in developing practical all-optical logic gates are analyzed and the prospects of the future are discussed.
ISSN:2097-0382