Photonic analog signal processing and neuromorphic computing[Invited]

作     者：James Garofolo Ben Wu James Garofolo;Ben Wu

作者机构：Department of Electrical and Computer EngineeringRowan UniversityGlassboroNJ 08028USA 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2024年第22卷第3期

页      面：123-136页

核心收录：

学科分类：08[工学] 0803[工学-光学工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：blind-source separation optical steganography neuromorphic photonics 

摘      要：In this review paper,we discuss the properties and applications of photonic computing and analog signal *** computational circuits have large operation bandwidth,low power consumption,and fine frequency control,enabling a wide range of application-specific computational techniques that are impossible to implement using traditional electrical and digital hardware *** advantages are illustrated in the elegant implementation of optical steganography,the real-time blind separation of signals in the same bandwidth,and the efficient acceleration of artificial neural network *** working principles and use of photonic circuits for analog signal processing and neuromorphic computing are reviewed and notable demonstrated applications are highlighted.