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
收藏
页数：12
相关论文
共 50 条
  • [21] Memory capacity analysis of time-delay reservoir computing based on silicon microring resonator nonlinearities.
    Castro, Bernard J. Giron
    Peucheret, Christophe
    Da Ros, Francesco
    MACHINE LEARNING IN PHOTONICS, 2024, 13017
  • [22] Performance Enhancement of a Delay-Based Reservoir Computing System by Using Gradient Boosting Technology
    Tao, Jun-Yao
    Wu, Zheng-Mao
    Yue, Dian-Zuo
    Tan, Xiang-Sheng
    Zeng, Qing-Qing
    Xia, Guang-Qiong
    IEEE ACCESS, 2020, 8 : 151990 - 151996
  • [23] Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system
    Bauwens, Ian
    Harkhoe, Krishan
    Gooskens, Emmanuel
    Bienstman, Peter
    Verschaffelt, Guy
    Van der Sande, Guy
    MACHINE LEARNING IN PHOTONICS, 2024, 13017
  • [24] Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers
    Hirayae, Soshi
    Yoshioka, Kanta
    Yokota, Atsuki
    Kawashima, Ichiro
    Tanaka, Yuichiro
    Katori, Yuichi
    Nomura, Osamu
    Morie, Takashi
    Tamukoh, Hakaru
    2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024, 2024,
  • [25] Optical spike amplitude weighting and neuromimetic rate coding using a joint VCSEL-MRR neuromorphic photonic system
    Hejda, Matej
    Doris, Eli A.
    Bilodeau, Simon
    Robertson, Joshua
    Owen-Newns, Dafydd
    Shastri, Bhavin J.
    Prucnal, Paul R.
    Hurtado, Antonio
    NEUROMORPHIC COMPUTING AND ENGINEERING, 2024, 4 (02):
  • [26] Performance-enhanced time-delayed photonic reservoir computing system using a reflective semiconductor optical amplifier
    Li, Xiaoyu
    Jiang, Ning
    Zhang, Qiang
    Tang, Chuanjie
    Zhang, Yiqun
    Hu, Gang
    Cao, Yongsheng
    Qiu, Kun
    OPTICS EXPRESS, 2023, 31 (18) : 28764 - 28777
  • [27] Optical cascaded reservoir computing for realization of dual-channel high-speed OTDM chaotic secure communication via four optically pumped VCSEL
    Zhong, Dongzhou
    Zhang, Jinbo
    Deng, Wanan
    Hou, Peng
    Wu, Qingfan
    Chen, Yujun
    Wang, Tiankai
    Hu, Yalan
    Deng, Fuqin
    OPTICS EXPRESS, 2023, 31 (13) : 21367 - 21388
  • [28] Time-delayed reservoir computing based on an optically pumped spin VCSEL for high-speed processing
    Yigong Yang
    Pei Zhou
    Penghua Mu
    Nianqiang Li
    Nonlinear Dynamics, 2022, 107 : 2619 - 2632
  • [29] A Novel Performance Enhancement Optical Reservoir Computing System Based on Three-Loop Mutual Coupling Structure
    Zhu, Pengjin
    Wang, Hongxiang
    Ji, Yuefeng
    Gao, Guanjun
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2024, 42 (09) : 3151 - 3162
  • [30] Four-channels reservoir computing based on polarization dynamics in mutually coupled VCSELs system
    Guo, Xing Xing
    Xiang, Shui Ying
    Zhang, Ya Hui
    Lin, Lin
    Wen, Ai Jun
    Hao, Yue
    OPTICS EXPRESS, 2019, 27 (16) : 23293 - 23306
12345