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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Bibliographic Details

Main Authors:	Giulia Marcucci, Luana Olivieri, Juan Totero Gongora
Format:	Default Article
Published:	2025
Subjects:	Reservoir computing (RC) Optical computing algorithms Photonic neural network Multimode fibre (MMF) Erbium-doped fibre (EDF) Nonlinear optics and laser properties Neuromorphic computing component Photonic machine learning
Online Access:	https://hdl.handle.net/2134/30128200.v1
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