Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres

Nonlinear photonics is a promising platform for neuromorphic hardware, offering high-speed processing, broad bandwidth, and scalable integration. Within this framework, Reservoir Computing (RC) and Extreme Learning Machines (ELM) are powerful approaches that leverage the dynamics of a complex nonlin...

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Autors principals:	Giulia Marcucci, Luana Olivieri, Juan Sebastian Totero Gongora
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-08-01
Col·lecció:	Frontiers in Nanotechnology
Matèries:	reservoir computing (RC) optical computing algorithms photonic neural network multimode fibre (MMF) erbium-doped fibre (EDF) nonlinear optics and laser properties
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnano.2025.1631564/full
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