半导体激光器储备池计算系统的工作点选取方法  

Method of selecting operating point of reservoir computing system based on semiconductor lasers

作　　者：花飞 方捻[1] 王陆唐[1] Hua Fei;Fang Nian;Wang Lu-Tang(Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication,Shanghai Institute for Advanced Communication and Data Science,Shanghai University,Shanghai 200444,China)

机构地区：[1]上海大学特种光纤与光接入网重点实验室特种光纤与先进通信国际合作联合实验室上海先进通信与数据科学研究院

出　　处：《物理学报》2019年第22期322-330,共9页Acta Physica Sinica

基　　金：国家自然科学基金(批准号:61377082,61108004);上海市浦江人才计划(批准号:14 PJD017)资助的课题~~

摘　　要：半导体激光器储备池计算系统的性能受很多因素的影响,如虚节点间隔、激光器的偏置电流和反馈强度等.对于光注入信号方式,注入强度和频率失谐的大小也会影响系统的性能,使得工作点更难确定.为此,本文以10阶非线性自回归移动平均任务为基础,提出一种选取半导体激光器储备池计算系统的最佳反馈强度与注入强度的方法.该方法通过寻找在某一反馈强度和连续光注入条件下,对应于储备池的注入锁定状态的最小注入强度来确定注入锁定状态的边缘;沿此边缘,通过测试系统性能选取最佳反馈强度以及与之配套的注入强度.综合前人对其他参数的研究,进一步提出完整工作点参数的选取方法.在所选取的工作点参数下,仅用50个虚节点即获得低至0.3431的归一化均方根误差,说明所提出的工作点选取方法是可行的.通过混沌时间序列预测和手写数字识别任务,验证了该方法对回归和分类问题的通用性.Reservoir computing(RC)is an improved recurrent neural network with the simplified training process,therefore has broad application prospects.The RC can be implemented in hardware based on a nonlinear physical node and a delay feedback loop.Among the optical implementation schemes,the RC system based on semiconductor lasers can process information at high speed due to the inherently short time scales.However,the performance of the RC system,especially using the optical injection way of input signals,is affected by many factors,such as the virtual node interval,bias current,frequency detuning,feedback strength,injection strength,etc.The first three parameters can be reasonably set according to the existing studies.The feedback strength and injection strength are mostly determined through multiple attempts,and there is no method to follow,which brings great uncertainty to the RC.Although some researchers suggest that the optimal feedback strength is at the edge of consistency,the conclusion is only reached at some specific injection strengths,and nobody knows whether it is still valid when the injection strength and feedback strength change at the same time.Therefore,in this paper we investigate numerically the relationships between the optimal feedback strength and the consistency region under different injection strengths,based on the nonlinear auto regressive moving average of the 10 th order(NARMA10)task.It is found that the optimal feedback strength is independent of the edge of consistency when the injection strength is large.Further research shows that the best performance of the RC system occurs at the edge of the injection locking states of the reservoir under the injection of continuous waveform light,different injection strengths and feedback strengths.Therefore this paper presents a method to select the optimal feedback strength and injection strength by using the edge of injection locking states of the reservoir under the injection of continuous waveform light.The method determines the edge of the inje

关 键 词：半导体激光器储备池计算系统 注入锁定 反馈强度 注入强度 

分 类 号：TN2[电子电信—物理电子学]