The challenges of modern computing and new opportunities for optics  

作　　者：Chong Li Xiang Zhang Jingwei Li Tao Fang Xiaowen Dong 

机构地区：[1]Huawei Technologies Co.,Ltd,Shenzhen,China

出　　处：《PhotoniX》2021年第1期74-104,共31页智汇光学（英文）

摘　　要：In recent years,the explosive development of artificial intelligence implementing by artificial neural networks(ANNs)creates inconceivable demands for computing hardware.However,conventional computing hardware based on electronic transistor and von Neumann architecture cannot satisfy such an inconceivable demand due to the unsustainability of Moore’s Law and the failure of Dennard’s scaling rules.Fortunately,analog optical computing offers an alternative way to release unprecedented computational capability to accelerate varies computing drained tasks.In this article,the challenges of the modern computing technologies and potential solutions are briefly explained in Chapter 1.In Chapter 2,the latest research progresses of analog optical computing are separated into three directions:vector/matrix manipulation,reservoir computing and photonic Ising machine.Each direction has been explicitly summarized and discussed.The last chapter explains the prospects and the new challenges of analog optical computing.

关 键 词：Optical computing Vector matrix multiplier Artificial neural network Reservoir computing Photonic Ising machine Hybrid optical-electrical system 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]