Innovative approach demonstrates accurate random time series prediction using chaotic frequency combs, highlighting new potential in optical neuro-morphic computing.
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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Shishavan et al. (2025) studied this question.
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