We developed and studied a hardware-based neuromorphic wave computer using optical nonlinearities. Here, we showcase the low-power consumption, robustness, and scalable complexity of soliton-based spectral broadening as a novel neuromorphic approach.
Brained-inspired optical computing unit based on transient nonlinear dynamics of single-mode fibers / Perron, N.; Fischer, B.; Chemnitz, M.; Zhu, Y.; Roztocki, P.; Maclellan, B.; Di Lauro, L.; Aadhi, A.; Rimoldi, C.; Falk, T. H.; Morandotti, R.. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 Conference on Lasers and Electro-Optics, CLEO 2024 tenutosi a Charlotte (USA) nel 5-10 maggio 2024) [10.1364/CLEO_SI.2024.STu3P.5].
Brained-inspired optical computing unit based on transient nonlinear dynamics of single-mode fibers
Rimoldi C.;
2024
Abstract
We developed and studied a hardware-based neuromorphic wave computer using optical nonlinearities. Here, we showcase the low-power consumption, robustness, and scalable complexity of soliton-based spectral broadening as a novel neuromorphic approach.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2995734