Year
Month
(Peer-Reviewed) All-optical logic gate computing for high-speed parallel information processing
Shuming Jiao 焦述铭 ¹, Junwei Liu 刘军伟 ², Liwen Zhang 张力文 ¹, Feihong Yu 余飞宏 ³, Guomeng Zuo 左国猛 ¹ ³, Jingming Zhang ³, Fang Zhao 赵方 ³, Weihao Lin 林伟浩 ³, Liyang Shao 邵理阳 ¹ ³
¹ Peng Cheng Laboratory, Shenzhen 518055, China
中国 深圳 鹏城实验室
² Department of Physics, The Hong Kong University of Science and Technology, Hong Kong 999077, China
中国 香港 香港科技大学物理系
³ Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
中国 深圳 南方科技大学电子与电气工程系
Opto-Electronic Science, 2022-09-07
Abstract

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.
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