Enhanced memory capacity of a neuromorphic reservoir computing system based on a VCSEL with double optical feedbacks

作     者：Xingxing GUO Shuiying XIANG Yahui ZHANG Aijun WEN Yue HAO Xingxing GUO;Shuiying XIANG;Yahui ZHANG;Aijun WEN;Yue HAO

作者机构：State Key Laboratory of Integrated Service Networks Xidian University State Key Discipline Laboratory of Wide Bandgap Semiconductor TechnologySchool of Microelectronics Xidian University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2020年第63卷第6期

页      面：164-175页

核心收录：

学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0803[工学-光学工程] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by National Key Research and Development Program of China (Grant No. 2018YFB2200500) National Natural Science Foundation of China (Grant Nos. 61974177, 61674119) 

主　　题：vertical-cavity surface-emitting laser nanophotonic reservoir computing memory capacity double feedback information processing 

摘      要：In this paper, a neuromorphic reservoir computing(RC) system with enhanced memory capacity(MC) based on a vertical-cavity surface-emitting laser(VCSEL) subject to double optical feedbacks(DOF)is proposed and investigated numerically. The aim of this study is to explore the MC of the proposed *** the purpose of comparison, the MC of the VCSEL-based RC system with single optical feedback(SOF)is also taken into account. It is found that, compared with the VCSEL-based RC system subject to SOF,enhanced MC can be obtained for the VCSEL-based RC system with DOF. Besides, the effects of feedback strength, injected strength, frequency detuning as well as injection current on the MC of the VCSEL-based RC system with DOF are considered. Moreover, the influence of feedback delays is also carefully ***, such proposed VCSEL-based RC system with DOF provides a prospect for the further development of the neuromorphic photonic system based on RC.