Femto-joule threshold reconfigurable all-optical nonlinear activators for picosecond pulsed optical neural networks

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Authors: Ruizhe Liu, Zijia Wang, Chuyu Zhong, Yan Chen, Boshu Sun, Jialing Jian, Hui Ma, Dawei Gao, Jianyi Yang, Lan Li, Kaihui Liu, Xiaoyong Hu
+1 more Hongtao Lin
Cited by: 4
References: 64

Abstract

Abstract Achieving optical computing with thousands of tera-operations per second per watt per square millimeter (TOPs/W/mm 2 ) is the key to surpassing electrical computing. This realization requires a breakthrough in the design of a new optical computing architecture and nonlinear activation functions. By leveraging the Kerr effect of silicon and the saturable absorption of graphene, we designed an all-optical nonlinear activator based on a graphene-silicon integrated photonic crystal cavity. The ultralow-threshold, high-speed, compact, and reconfigurable all-optical nonlinear activator could achieve a saturable absorption energy threshold of 4 fJ and a response time of 1.05 ps, a reconfigurable nonlinear activation threshold of 30 fJ and a response time of 4 ps, and an ultrasmall size of 15 μm × 10 μm. This device provides foundation blocks for the picosecond pulsed optical neural network chip to achieve 10 6 TOPs/W/mm 2 level optical computing.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Advanced Fiber Laser Technologies Photonic and Optical Devices

Publication details

Journal / source
Light Science & Applications
Publisher
Springer Science and Business Media LLC
Volume
15
Issue
1
Publication date
27 February 2026
Language
EN