Nonlinear Dynamics in Semiconductor Lasers 2023 - Abstract

Lüdge, Kathy

How to combine laser modulation-response and delay-induced bifurcations for optimizing reservoir computing

The field of reservoir computing is a fast developing subfield of machine learning and various systems are explored with respect to their potential for fast and energy efficient computations. Optical reservoir computing systems, e.g. coupled semiconductor lasers, are promising, as data injection and analysis can be realized on chip in the optical domain. Nevertheless, the internal timescales of the system and the control induced bifurcation structure play a crucial role for the performance on a specific task and can be detrimental for applications. In this presentation, we investigate the impact of the different timescales via evaluating the modulation response for the laser system. Further, we discuss the role of external input and output delay lines for mitigating the task specific hyperparameter optimization usually necessary in reservoir computing systems.