Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8805
Authors: Raab, Klaus
Brems, Maarten A.
Beneke, Grischa
Dohi, Takaaki
Rothörl, Jan
Kammerbauer, Fabian
Mentink, Johan H.
Kläui, Mathias
Title: Brownian reservoir computing realized using geometrically confined skyrmion dynamics
Online publication date: 29-Mar-2023
Year of first publication: 2022
Language: english
Abstract: Reservoir computing (RC) has been considered as one of the key computational principles beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures in magnetic films are particularly promising for implementing RC, since they respond strongly nonlinearly to external stimuli and feature inherent multiscale dynamics. However, despite several theoretical proposals that exist for skyrmion reservoir computing, experimental realizations have been elusive until now. Here, we propose and experimentally demonstrate a conceptually new approach to skyrmion RC that leverages the thermally activated diffusive motion of skyrmions. By confining the electrically gated and thermal skyrmion motion, we find that already a single skyrmion in a confined geometry suffices to realize nonlinearly separable functions, which we demonstrate for the XOR gate along with all other Boolean logic gate operations. Besides this universality, the reservoir computing concept ensures low training costs and ultra-low power operation with current densities orders of magnitude smaller than those used in existing spintronic reservoir computing demonstrations. Our proposed concept is robust against device imperfections and can be readily extended by linking multiple confined geometries and/or by including more skyrmions in the reservoir, suggesting high potential for scalable and low-energy reservoir computing.
DDC: 530 Physik
530 Physics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-8805
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Nature Communications
13
Pages or article number: 6982
Publisher: Springer Nature
Publisher place: London
Issue date: 2022
ISSN: 2041-1723
Publisher DOI: 10.1038/s41467-022-34309-2
Appears in collections:DFG-491381577-G

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