On-chip phonon-magnon reservoir for neuromorphic computing

Simple item page
dc.contributor.authorYaremkevich, Dmytro D.
dc.contributor.authorScherbakov, Alexey V.
dc.contributor.authorDe Clerk, Luke
dc.contributor.authorKukhtaruk, Serhii M.
dc.contributor.authorNadzeyka, Achim
dc.contributor.authorCampion, Richard
dc.contributor.authorRushforth, Andrew W.
dc.contributor.authorSavel'ev, Sergey
dc.contributor.authorBalanov, Alexander G.
dc.contributor.authorBayer, Manfred
dc.date.accessioned2024-04-08T11:51:44Z
dc.date.available2024-04-08T11:51:44Z
dc.date.issued2023-12-14
dc.description.abstractReservoir computing is a concept involving mapping signals onto a high-dimensional phase space of a dynamical system called “reservoir” for subsequent recognition by an artificial neural network. We implement this concept in a nanodevice consisting of a sandwich of a semiconductor phonon waveguide and a patterned ferromagnetic layer. A pulsed write-laser encodes input signals into propagating phonon wavepackets, interacting with ferromagnetic magnons. The second laser reads the output signal reflecting a phase-sensitive mix of phonon and magnon modes, whose content is highly sensitive to the write- and read-laser positions. The reservoir efficiently separates the visual shapes drawn by the write-laser beam on the nanodevice surface in an area with a size comparable to a single pixel of a modern digital camera. Our finding suggests the phonon-magnon interaction as a promising hardware basis for realizing on-chip reservoir computing in future neuromorphic architectures.en
dc.identifier.urihttp://hdl.handle.net/2003/42427
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-24263
dc.language.isoende
dc.relation.ispartofseriesNature communications;14
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subjectFerromagnetismen
dc.subjectInformation technologyen
dc.subjectSurfaces, interfaces and thin filmsen
dc.subject.ddc530
dc.titleOn-chip phonon-magnon reservoir for neuromorphic computingen
dc.typeTextde
dc.type.publicationtypeArticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationYaremkevich, D.D., Scherbakov, A.V., De Clerk, L. et al. On-chip phonon-magnon reservoir for neuromorphic computing. Nat Commun 14, 8296 (2023). https://doi.org/10.1038/s41467-023-43891-yde
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1038/s41467-023-43891-yde

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
s41467-023-43891-y.pdf
Size:
1.9 MB
Format:
Adobe Portable Document Format
Description:
DNB
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.85 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Experimentelle Physik II