Hardware-Based Framework of Photonic Reservoir Computing with Coupled SOAs Network

Abstract

Abstract In this paper, a photonic structure for reservoir computing is presented. A new approach for photonic reservoir computing is proposed using a network of SOAs arranged in a waterfall topology and coupled by semi-transparent mirrors. The proposed method is then simulated in OptiSystem software. As this software is hardware framework-based, the simulation result is one step closer to fabrication than the previous works. A series of noisy and noise-free time-series signals are employed to evaluate the performance of the proposed method. The used time-series signals contain random sequence of both square and triangular wave forms. The results of this simulation show 92.14% recognition of a noise-free signal and 79.32% of a 60 dB noisy signal. The parameters of the simulated photonic reservoir network are also optimized to achieve higher accuracy in this time-series classification.