Improving the processing rate of VCSEL-based reservoir computing through adopting variable polarization information injection

被引：6
作者：
Liu, Yang [1 ,2 ]
Wu, ZhengMao [1 ,2 ]
Tan, ShuLu [1 ,2 ]
Xia, GuangQiong [1 ,2 ]
机构：
[1] Southwest Univ, Sch Phys Sci & Technol, Chongqing 400715, Peoples R China
[2] Southwest Univ, Chongqing Key Lab Micro & Nano Struct Optoelect, Chongqing 400715, Peoples R China
来源：
OPTICS AND LASER TECHNOLOGY | 2023年 / 161卷
基金：
中国国家自然科学基金;
关键词：
Reservoir computing (RC); Vertical-cavity surface-emitting lasers; (VCSELs); Variable polarization information injection; (VPII); Santa-Fe time series prediction task; Waveform recognition task; SURFACE-EMITTING LASERS; OPTICAL FEEDBACK; PERFORMANCE; SYSTEM; COMPUTATION; DYNAMICS; DESIGN;
D O I：
10.1016/j.optlastec.2023.109200
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A novel information injection method is proposed for improving the information processing rate in reservoir computing (RC) systems based on vertical-cavity surface-emitting lasers (VCSELs), and its effectiveness is numerically verified via Santa-Fe chaotic time series prediction task and waveform recognition task. For VCSELbased RC systems, conventional information injection (CII) method is usually adopted, namely the polarization direction of the injection light loaded by the information is along either X-polarization component (X-PC) or Ypolarization component (Y-PC) of VCSEL. In this work, the polarization direction of the injection light loaded by the information is set at 45-degree deviated from the X-PC of the VCSEL, which is named as variable polarization information injection (VPII) method. By utilizing the VCSEL-based RC to deal with two different scenarios of single task and two tasks in parallel, the numerical results demonstrate that after adopting VPII to replace CII, the processing rate can be doubled while the system performance maintains the same level.
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页数：7
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