Physics-aware analytic-gradient training of photonic neural networks

• المؤلفون الرئيسيون: 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
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Optical computing; Photonic integrated chip
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/177940

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...