光子学
计算机科学
签名(拓扑)
混乱的
节点(物理)
油藏计算
半导体激光器理论
光学混沌
混沌(操作系统)
激光器
电子工程
光学
物理
人工智能
数学
工程类
几何学
计算机安全
量子力学
循环神经网络
人工神经网络
作者
Chao Kai,Pu Li,Bingjie Wang,K.A. Shore,Yuwen Qin,Yuncai Wang
标识
DOI:10.1109/jstqe.2023.3262402
摘要
The time delay signature is a crucial secure key for chaos communication using optical feedback semiconductor lasers. Herein, we propose a single node-based photonic reservoir computing method for extracting the time delay signature of optical-feedback-induced chaos. Through drawing the phase diagram of the chaotic time series and its delayed copies, we transform the time delay signature into the shape feature of the obtained two-dimensional image. After training the optimized photonic reservoir with these two-dimensional images, we numerically demonstrate that our method can achieve an overall extraction accuracy rate of 97.3% for different optical feedback semiconductor lasers. Considering its good performance and simple configuration, we believe that this single node-based photonic reservoir computing offers a hardware-friendly solution for time delay signature extraction.
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