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

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 x 10(-5) and 4.4 x 10(-5), respectively. For parallel processing two nonlinear channel equalization tasks, the minimum symbol error rates (SERs) are 3.3 x 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 x 10(-4) for nonlinear channel equalization, and the minimum prediction error is 4.6 x 10(-5) for Santa-Fe time series prediction.