Space-efficient optical computing with an integrated chip diffractive neural network

• Main Authors: Zhu, Hanhan, Zou, Jun, Zhang, Hengyi, Shi, Yuzhi, Luo, Shibo, Wang, N., Cai, H., Wan, Liangxia, Wang, Bo, Jiang, Xudong, Thompson, Jayne, Luo, Xianshu, Zhou, Xuanhe, Xiao, Limin, Huang, W., Patrick, Lento, Gu, Mile, Kwek, Leong Chuan, Liu, Ai Qun
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Physics; Artificial Intelligence; Computers
• Online Access: https://hdl.handle.net/10356/160409
• Institution: Nanyang Technological University

Large-scale, highly integrated and low-power-consuming hardware is becoming progressively more important for realizing optical neural networks (ONNs) capable of advanced optical computing. Traditional experimental implementations need N2 units such as Mach-Zehnder interferometers (MZIs) for an input...