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Chaotic photonic reservoir computing with complex dynamics in multimode fibers

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We implement chaotic photonic neural networks by utilizing instabilities in modal energy flow in a graded-index fiber. Reaching accuracies that are on par with neural networks, our methodology is a potential alternative to conventional methods. © 2025 The Author(s)

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Institute of Electrical and Electronics Engineers

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2025 Conference on Lasers and Electro-Optics, CLEO 2025

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10.1364/CLEO_SI.2025.SS178_7

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