光学
超材料
波导管
人工神经网络
功能(生物学)
材料科学
计算机科学
物理
人工智能
进化生物学
生物
作者
Yoshihiro Honda,Yuya Shoji,Tomohiro Amemiya
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2024-09-23
卷期号:49 (20): 5811-5811
摘要
In this study, we experimentally demonstrated that the nonlinear optical coefficient of the original Si can be enhanced by incorporating a metamaterial structure into an existing silicon waveguide. The two-photon absorption coefficient enhanced by the metamaterial structure was 424 cm/GW, which is 1.2 × 10 3 times higher than that of Si. Using this metamaterial waveguide-based nonlinear optical activation function, we achieved a high inference accuracy of 98.36% in the handwritten character recognition task, comparable to that obtained with the ReLU function as the activation function. Therefore, our approach can contribute to the realization of more power-efficient and compact all-optical neural networks.
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