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Cavity solitons as a nonlinear substrate for photonic neuromorphic computing

par Arsalan Arabieh, Amir;Lupo, Alessandro ;Gorza, Simon-Pierre ;Massar, Serge
Référence Optics express, 34, 13, page (24768)
Publication Publié, 2026-06

Article révisé par les pairs

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Résumé :

Reservoir computing leverages the nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoir computing. Our methodology employs a phase-modulated drive laser to encode the input, while the reservoir states are accessed through a frequency-resolved readout. Numerical simulations indicate that the emission of Kelly waves enriches the dynamics and enhances performance for machine learning tasks. We evaluated the performance of the cavity-soliton reservoir computer on several standard benchmark tasks.