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

被引：10

作者：

Guo, Xingxing ^{[1
]}

Xiang, Shuiying ^{[1
,2
]}

Zhang, Yahui ^{[1
]}

Wen, Aijun ^{[1
]}

Hao, Yue ^{[2
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[2] Xidian Univ, Sch Microelect, State Key Discipline Lab Wide Bandgap Semicond Te, Xian 710071, Peoples R China

来源：

SCIENCE CHINA-INFORMATION SCIENCES | 2020年 / 63卷 / 06期

基金：

中国国家自然科学基金;

关键词：

vertical-cavity surface-emitting laser; nanophotonic reservoir computing; memory capacity; double feedback; information processing; SEMICONDUCTOR-LASER; PREDICTION PERFORMANCE; POLARIZATION DYNAMICS; SUBJECT;

D O I：

10.1007/s11432-020-2862-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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 system. For 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 examined. Thus, such proposed VCSEL-based RC system with DOF provides a prospect for the further development of the neuromorphic photonic system based on RC.

引用

页数：12

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