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Datasets for "Optimising Complexity and Learning for Photonic Reservoir Computing with Gain-Controlled Multimode Fibres"

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posted on 2025-07-18, 13:11 authored by Giulia Marcucci, Luana OlivieriLuana Olivieri, Juan Totero GongoraJuan Totero Gongora
<p dir="ltr">The data is associated with the main text and supplementary figures. The dataset is provided in .fig format and separated into folders. They can be opened by open-source software such as Octave.</p><p dir="ltr">Giulia Marcucci, Luana Olivieri, and Juan Sebastian Totero Gongora, "Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres", Front. Nanotechnol. 7:1631564 (2025). DOI: <a href="https://www.frontiersin.org/journals/nanotechnology/articles/10.3389/fnano.2025.1631564" rel="noreferrer" target="_blank">10.3389/fnano.2025.1631564</a></p>

Funding

AI-powered micro-comb lasers: a new approach to transfer portable atomic clock accuracy in integrated photonics

Engineering and Physical Sciences Research Council

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Quantum reservoir computing for efficient signal processing

European Commission

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Leverhulme Trust ECF-2023-315

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