Prediction of intermittent chaos in a semiconductor laser with optical feedback using reservoir computing
Shoma Ohara, Kazutaka Kanno, Atsushi Uchida, Hiroaki Kurokawa · Japanese Journal of Applied Physics · 2024
Abstract Prediction of intermittent chaos is an important issue when detecting the precursors of extreme events such as catastrophic phenomena. We numerically investigate the time-series prediction of intermittent chaos to detect and predict the occurrence of extreme events in a semiconductor laser using reservoir computing (RC). Intermittent chaos is observed in a semiconductor laser subjected to optical self-feedback, and irregular switching occurs suddenly between burst and laminar states. We perform k-step-ahead prediction and investigate the possibilities for the prediction of the occurrence of chaotic bursts using RC.