Performance analysis of VCSEL-based reservoir computing system under arbitrary-polarization optical feedback

Dianzuo Yue; Yushuang Hou; Cunru Zang; Yingzhe Kou

doi:10.1117/12.3025668

6 May 2024 Performance analysis of VCSEL-based reservoir computing system under arbitrary-polarization optical feedback

Dianzuo Yue, Yushuang Hou, Cunru Zang, Yingzhe Kou

Proceedings Volume 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023); 1316106 (2024) https://doi.org/10.1117/12.3025668
Event: Fourth International Conference on Telecommunications, Optics and Computer Science (TOCS 2023), 2023, Xi’an, China

Abstract

A reservoir computing system (RC) based on a vertical cavity surface emitting semiconductor laser (VCSEL) subject to arbitrary-polarization optical feedback is proposed, and its performance for predicting Santa-Fee time series is numerically analyzed. Taking advantage of the fact that the light emitted by VCSEL has two polarization components, a tunable polarization wave plate is placed in the feedback loop to adjust the polarization angle of the feedback light. The influences of system typical parameters on the prediction error of such a RC system have been analyzed in detail. Through optimizing the parameters of feedback strength, injection coefficient and polarization angle, the prediction error of 3% can be realized for the reservoir computing system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dianzuo Yue, Yushuang Hou, Cunru Zang, and Yingzhe Kou "Performance analysis of VCSEL-based reservoir computing system under arbitrary-polarization optical feedback", Proc. SPIE 13161, Fourth International Conference on Telecommunications, Optics, and Computer Science (TOCS 2023), 1316106 (6 May 2024); https://doi.org/10.1117/12.3025668

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