Optical reservoir computing with chaotic frequency combs in Kerr microresonators

We present a reservoir computing approach utilizing chaotic optical frequency combs in microresonators, achieving high-dimensional nonlinear mapping for accurate random time series prediction. Our work advances energy efficient, high speed optical neuro-morphic computing architectures.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.jps200_125
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Optical reservoir computing with chaotic frequency combs in Kerr microresonators

Egor Manuylovich, Auro M. Perego, Morteza Kamalian-Kopae, Negar Shaabani Shishavan
Neural Networks and Reservoir Computing
article

Optical reservoir computing with chaotic frequency combs in Kerr microresonators

Egor Manuylovich, Auro M. Perego, Morteza Kamalian-Kopae, Negar Shaabani Shishavan
article en

Abstract

We present a reservoir computing approach utilizing chaotic optical frequency combs in microresonators, achieving high-dimensional nonlinear mapping for accurate random time series prediction. Our work advances energy efficient, high speed optical neuro-morphic computing architectures.

Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
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Optical reservoir computing with chaotic frequency combs in Kerr microresonators — Egor Manuylovich, Auro M. Perego, et al. · (2025) | TGRS Research Map | TGRS