短内腔激光器对光子储备池计算的优化  

Optimization of photonic reservoir computing using short internal cavity laser

作　　者：赵彤 谢文丽 许俊伟 贾志伟 Zhao Tong;Xie Wen-Li;Xu Jun-Wei;Jia Zhi-Wei(Key Laboratory of Advanced Transducers and Intelligent Control System,Ministry of Education,Taiyuan University of Technology,Taiyuan 030024,China;College of Physics and Optoelectronic Engineering,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]太原理工大学,新型传感器与智能控制教育部重点实验室,太原030024 [2]太原理工大学物理与光电工程学院,太原030024

出　　处：《物理学报》2022年第19期164-173,共10页Acta Physica Sinica

基　　金：国家重点研发计划(批准号:2019YFB1803500);国家自然科学基金(批准号:61705160,61961136002,61875147,62075154);山西省自然科学基金(批准号:20210302123183);山西省“1331工程”重点创新团队建设计划。

摘　　要：随着高速信息时代的来临及信息量的爆炸式增长,对信息处理速度提出了更高的要求,光子储备池计算系统成为了解决方案之一.短光子寿命易于提升光子储备池计算系统的响应速度而有助于实现更高速率的信息处理.激光器内腔长度会影响光子寿命,同时还影响了激光器输出进入不同动力学状态时所需的相关参数值.因此,本文研究了不同内腔长度(120—900μm)对基于分布式反馈激光器的储备池计算系统性能及相关参数空间的影响.结果表明,当内腔长度在120—171μm范围内,系统可低误差处理20 Gbps速率的信息;内腔长度介于120—380μm之间时、较大的频率失谐及少量虚拟节点数(50),仍可使系统具有良好的预测效果;内腔长度较短时,反馈强度与注入强度组成的高性能参数空间可提高22%—40%.With the advent of the high-speed information age and the explosive growth of the information,higher requirements have been placed on the information processing speed.In recent years,the delay-based reservoir computing(RC) systems have been extensively investigated.Meanwhile,the information processing rate is improved mainly around the replacement of nonlinear nodes in the system.Nevertheless,as the most commonly used distributed feedback semiconductor(DFB) laser,many researchers only use ordinary commercial DFB products for research,and they have not noticed the improvement of RC performance caused by changes in internal parameters of laser.With the development of photonic integration technology,the processing technology of DFB turns more mature,so that the size of DFB can be fabricated in a range of 100 μm-1 mm when it still generates laser,and the photon lifetime of the laser will also change.The shorter photon lifetime in the laser leads to a faster dynamic response,which has the potential to process the information at a higher rate in the RC system.According to the laser rate equation(Lang-Kobayashi),changing the internal cavity length will affect the feedback strength,injection strength and other parameters required for the laser to enter into each dynamic state,which in turn affects the parameter space required for the RC system to exhibit high performance.According to this,we study the relationship between the internal cavity length(120 μm-900 μm)and the information processing rate of the RC system.In addition,the influences of different internal cavity lengths on the parameter space of the RC system are analyzed.The results show that when the internal cavity length is in a range from 120 μm to 171 μm,the system can achieve 20-Gbps low-error information processing.It is worth noting that when the internal cavity length decreases from 600 μm to 128 μm,the parameter space with better prediction performance of the RC system is greatly improved.When performing the Santa-Fe chaotic time series predictio

关 键 词：储备池计算 内腔长度 信息处理 非线性动力学系统 

分 类 号：TN248[电子电信—物理电子学]