We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup. Reservoir computing is a robust framework for signal processing applications, and the development of efficient optimization approaches remains a key challenge. The technique we address leverages solely a delayed version of the input signal to identify the optimal operational region of the reservoir, simplifying the traditionally time-consuming task of hyperparameter tuning. We verify the effectiveness of this approach on different benchmark tasks and reservoir operating conditions.
@article{arxiv.2401.14371,
title = {Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input},
author = {Enrico Picco and Lina Jaurigue and Kathy Lüdge and Serge Massar},
journal= {arXiv preprint arXiv:2401.14371},
year = {2024}
}