Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input

25 Jan 2024  ·  Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar ·

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.

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