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

Achieving optical computing with thousands of tera-operations per second per watt per square millimeter (TOPs/W/mm<sup>2</sup>) 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<sup>6</sup> TOPs/W/mm<sup>2</sup> level optical computing.

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Publication Details

Journal
Light Science & Applications
Published
2026-02-27
DOI
https://doi.org/10.1038/s41377-025-02175-4
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Zijia Wang, Ruizhe Liu, Jialing Jian, Hongtao Lin et al.
Light Science & Applications
Neural Networks and Reservoir Computing
article

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

Zijia Wang, Ruizhe Liu, Jialing Jian, Hongtao Lin, Chuyu Zhong, Jianyi Yang, Hui Ma, Yan Chen, Lan Li, Xiaoyong Hu, Kaihui Liu, Dawei Gao, Boshu Sun
article en

Abstract

Achieving optical computing with thousands of tera-operations per second per watt per square millimeter (TOPs/W/mm<sup>2</sup>) 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<sup>6</sup> TOPs/W/mm<sup>2</sup> level optical computing.

Light Science & ApplicationsVol. 15(1)
Peking University (CN), Westlake University (CN), Zhejiang Lab (CN), Shenzhen Technology University (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
Westlake University, Shenzhen Technology University, National Natural Science Foundation of China, Zhejiang University, Peking University, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 44%
Neural Networks and Reservoir Computing
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