Parallel information processing using a reservoir computing system based on mutually coupled semiconductor lasers

• DOI: 10.1007/s00340-019-7351-4
• Publication Date: 2020-02-12T16:07:15Z
• Authors: Y. S. Hou; G. Q. Xia; E. Jayaprasath; D. Z. Yue; Z. M. Wu
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Via the nonlinear channel equalization and the Santa-Fe time series prediction, the parallel processing capability of a reservoir computing (RC) system based on two mutually coupled semiconductor lasers is demonstrated numerically. The results show that, for parallel processing the prediction tasks of two Santa-Fe time series with rates of 0.25 GSa/s, the minimum prediction errors are 3.8 × 10−5 and 4.4 × 10−5, respectively. For parallel processing two nonlinear channel equalization tasks, the minimum symbol error rates (SERs) are 3.3 × 10−4 for both tasks. For parallel processing a nonlinear channel equalization and a Santa-Fe time series prediction, the minimum SER is 6.7 × 10−4 for nonlinear channel equalization, and the minimum prediction error is 4.6 × 10−5 for Santa-Fe time series prediction.