Abstract

Photonic technologies offer great prospects for novel ultrafast, energy-efficient and hardware friendly neuromorphic computing platforms. Moreover, Photonic spiking neural network (PSNN) emerged as a promising approach toward building a low-latency and energy-efficient non-von-Neuman computing system is of particular interest. In this article, a fabricated Fabry–Pérot laser with saturable absorber (FP-SA) is employed as the photonic spiking neuron of the PSNN, and a multi-layer PSNN with such three cascaded photonic spiking neurons is proposed. The cascadability of the proposed multi-layer PSNN is demonstrated experimentally. It is found that the performance of the pattern recognition task using the hardware-algorithm collaborative computing is improved in the multi-layer PSNN. Besides, the nonlinear neuron-like dynamics including temporal integration and threshold in such multi-layer PSNN are also experimentally investigated, and better nonlinear neuron-like dynamics can be achieved. Such proposed multi-layer PSNN potentially opens up the prospect of employing simple hardware structure and cooperating with algorithm design to realize a photonic depth neural network to solve more complex problems.

Hardware-algorithm collaborative computing with photonic spiking neuron chip based on an integrated Fabry–Perot laser with a saturable absorber

Shuiying Xiang, Yuechun Shi, Xingxing Guo, Yahui Zhang, Hongji Wang, Dianzhuang Zheng, Ziwei Song, Yanan Han, Shuang Gao, Shihao Zhao, Biling Gu, Hailing Wang, Xiaojun Zhu, Lianping Hou, Xiangfei Chen, Wanhua Zheng, Xiaohua Ma, and Yue Hao
Optica 10(2) 162-171 (2023)

Photonic spiking neural networks with event-driven femtojoule optoelectronic neurons based on Izhikevich-inspired model

Yun-Jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti, and S. J. Ben Yoo
Opt. Express 30(11) 19360-19389 (2022)

Experimental demonstration of coherent photonic neural computing based on a Fabry–Perot laser with a saturable absorber

Dianzhuang Zheng, Shuiying Xiang, Xingxing Guo, Yahui Zhang, Biling Gu, Hongji Wang, Zhenzhen Xu, Xiaojun Zhu, Yuechun Shi, and Yue Hao
Photon. Res. 11(1) 65-71 (2023)

BP-based supervised learning algorithm for multilayer photonic spiking neural network and hardware implementation

Yahui Zhang, Shuiying Xiang, Yanan Han, Xingxing Guo, Wu Zhang, Qinggui Tan, Genquan Han, and Yue Hao
Opt. Express 31(10) 16549-16559 (2023)

Spiking information processing in a single photonic spiking neuron chip with double integrated electronic dendrites

Yahui Zhang, Shuiying Xiang, Xingxing Guo, Yanan Han, Yuechun Shi, Xiangfei Chen, Genquan Han, and Yue Hao
Photon. Res. 11(12) 2033-2041 (2023)