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 × 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.