Physics-aware analytic-gradient training of photonic neural networks

• Main Authors: Zhan, Yuancheng, Zhang, Hui, Lin, Hexiang, Chin, Lip Ket, Cai, Hong, Karim, Muhammad Faeyz, Poenar, Daniel Puiu, Jiang, Xudong, Mak, Man-Wai, Kwek, Leong Chuan, Liu, Ai Qun
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Optical computing; Photonic integrated chip
• Online Access: https://hdl.handle.net/10356/177940
• Institution: Nanyang Technological University

Photonic neural networks (PNNs) have emerged as promising alternatives to traditional electronic neural networks. However, the training of PNNs, especially the chip implementation of analytic gradient descent algorithms that are recognized as highly efficient in traditional practice, remains a major...