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

Shuming Jiao, Junwei Liu, Liwen Zhang, Fei Yu, Guomeng Zuo, Jingming Zhang, Fang Zhao, Weihao Lin, Liyang Shao
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引用次数: 14

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. al. All-optical logic gate computing for high-speed parallel information processing. Opto-Electron Sci 1 , 220010 (2022).
用于高速并行信息处理的全光逻辑门计算
与电子计算相比,光计算和光神经网络具有以光速并行处理和低功耗的潜在优势,近年来受到越来越多的关注。在过去的几十年里,数字计算机的基本组成部分,即逻辑门的光学实现已经得到了广泛的研究。光逻辑门计算是各种模拟光计算体系结构的替代方法。本文综述了光逻辑门计算的最新发展和各种实现方法。首先,介绍了电子和光学领域逻辑门模拟和数字计算的基本概念。然后全面总结了各种光逻辑门方案,包括光场空间编码、半导体光放大器(SOA)、高度非线性光纤(HNLF)、微尺度和纳米尺度波导以及光子晶体结构。最后,分析了开发实用全光逻辑门所面临的巨大挑战,并对未来的发展前景进行了展望。高速并行信息处理的全光逻辑门计算。光电科学,20010(2022)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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