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...
Main Authors: | , , , , , , , , |
---|---|
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 |
Subjects: | |
Online Access: | https://www.oejournal.org/article/doi/10.29026/oes.2022.220010 |
_version_ | 1797374924101255168 |
---|---|
author | Shuming Jiao Junwei Liu Liwen Zhang Feihong Yu Guomeng Zuo Jingming Zhang Fang Zhao Weihao Lin Liyang Shao |
author_facet | Shuming Jiao Junwei Liu Liwen Zhang Feihong Yu Guomeng Zuo Jingming Zhang Fang Zhao Weihao Lin Liyang Shao |
author_sort | Shuming Jiao |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-08T19:12:46Z |
format | Article |
id | doaj.art-990e5d0108ed4b46a2d457e77c7cccdd |
institution | Directory Open Access Journal |
issn | 2097-0382 |
language | English |
last_indexed | 2024-03-08T19:12:46Z |
publishDate | 2022-08-01 |
publisher | Editorial Office of Opto-Electronic Journals, Institute of Optics and Electronics, CAS, China |
record_format | Article |
series | Opto-Electronic Science |
spelling | doaj.art-990e5d0108ed4b46a2d457e77c7cccdd2023-12-27T09:27:27ZengEditorial Office of Opto-Electronic Journals, Institute of Optics and Electronics, CAS, ChinaOpto-Electronic Science2097-03822022-08-011912210.29026/oes.2022.220010oes-2022-0010-ShaoLiyangAll-optical logic gate computing for high-speed parallel information processingShuming Jiao0Junwei Liu1Liwen Zhang2Feihong Yu3Guomeng Zuo4Jingming Zhang5Fang Zhao6Weihao Lin7Liyang Shao8Peng Cheng Laboratory, Shenzhen 518055, ChinaDepartment of Physics, The Hong Kong University of Science and Technology, Hong Kong 999077, ChinaPeng Cheng Laboratory, Shenzhen 518055, ChinaDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaPeng Cheng Laboratory, Shenzhen 518055, ChinaDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaPeng Cheng Laboratory, Shenzhen 518055, ChinaOptical 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.https://www.oejournal.org/article/doi/10.29026/oes.2022.220010logic gateoptical computingartificial intelligencewaveguidecrystal structure |
spellingShingle | Shuming Jiao Junwei Liu Liwen Zhang Feihong Yu Guomeng Zuo Jingming Zhang Fang Zhao Weihao Lin Liyang Shao All-optical logic gate computing for high-speed parallel information processing Opto-Electronic Science logic gate optical computing artificial intelligence waveguide crystal structure |
title | All-optical logic gate computing for high-speed parallel information processing |
title_full | All-optical logic gate computing for high-speed parallel information processing |
title_fullStr | All-optical logic gate computing for high-speed parallel information processing |
title_full_unstemmed | All-optical logic gate computing for high-speed parallel information processing |
title_short | All-optical logic gate computing for high-speed parallel information processing |
title_sort | all optical logic gate computing for high speed parallel information processing |
topic | logic gate optical computing artificial intelligence waveguide crystal structure |
url | https://www.oejournal.org/article/doi/10.29026/oes.2022.220010 |
work_keys_str_mv | AT shumingjiao allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT junweiliu allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT liwenzhang allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT feihongyu allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT guomengzuo allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT jingmingzhang allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT fangzhao allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT weihaolin allopticallogicgatecomputingforhighspeedparallelinformationprocessing AT liyangshao allopticallogicgatecomputingforhighspeedparallelinformationprocessing |