神经形态工程学
超短脉冲
材料科学
石墨烯
非线性系统
非线性光学
硅
激活剂(遗传学)
光电子学
非线性光学
纳米技术
光学
计算机科学
人工神经网络
人工智能
物理
量子力学
生物化学
基因
化学
激光器
作者
Ziwen Zhou,Chen Liu,Weiwei Zhao,Jingze Liu,Ting Jiang,Wenyi Peng,Jiawang Xiong,Hao Wu,Chi Zhang,Yunhong Ding,Francesco Da Ros,Xingyuan Xu,Kun Xu,Siqi Yan,Ming Tang
标识
DOI:10.1002/adom.202401686
摘要
Abstract Optical neural networks (ONNs) have shown great promise in overcoming the speed and efficiency bottlenecks of artificial neural networks. However, the absence of high‐speed, energy‐efficient nonlinear activators significantly impedes the advancement of ONNs and their extension to ultrafast application scenarios like real‐time intelligent signal processing. In this work, a novel silicon/graphene ultrafast all‐optical nonlinear activator, leveraging the hybrid integration of silicon slot waveguides, plasmonic slot waveguides, and monolayer graphene is demonstrated. Exploiting the exceptional picosecond‐scale photogenerated carrier relaxation time of graphene, the response time of the activator is markedly reduced to ≈93.6 ps, establishing all‐optical activator as the fastest known in silicon photonics to knowledge. Moreover, the all‐optical nonlinear activator holds a low threshold power of 5.49 mW and a corresponding power consumption per activation of 0.51 pJ. Its feasibility and capability for use in ONNs, manifesting performance comparable with commonly used activation functions are experimentally confirmed. This breakthrough in speed and energy efficiency of all‐optical nonlinear activators opens the door to significant improvements in the performance and applicability of ONNs.
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