Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback

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Bueno, Julián and Brunner, Daniel and Soriano, Miguel C. and Fischer, Ingo (2017) Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback. Optics Express, 25 (3). pp. 2401-2412. ISSN 1094-4087 (https://doi.org/10.1364/OE.25.002401)

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Abstract

Photonic implementations of reservoir computing (RC) have been receiving considerable attention due to their excellent performance, hardware, and energy efficiency as well as their speed. Here, we study a particularly attractive all-optical system using optical information injection into a semiconductor laser with delayed feedback. We connect its injection locking, consistency, and memory properties to the RC performance in a non-linear prediction task. We find that for partial injection locking we achieve a good combination of consistency and memory. Therefore, we are able to provide a physical basis identifying operational parameters suitable for prediction.

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