Autor(en): | Yaremkevich, Dmytro D. Scherbakov, Alexey V. De Clerk, Luke Kukhtaruk, Serhii M. Nadzeyka, Achim Campion, Richard Rushforth, Andrew W. Savel'ev, Sergey Balanov, Alexander G. Bayer, Manfred |
Titel: | On-chip phonon-magnon reservoir for neuromorphic computing |
Sprache (ISO): | en |
Zusammenfassung: | Reservoir 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. |
Schlagwörter: | Ferromagnetism Information technology Surfaces, interfaces and thin films |
URI: | http://hdl.handle.net/2003/42427 http://dx.doi.org/10.17877/DE290R-24263 |
Erscheinungsdatum: | 2023-12-14 |
Rechte (Link): | https://creativecommons.org/licenses/by/4.0/ |
Enthalten in den Sammlungen: | Experimentelle Physik II |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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s41467-023-43891-y.pdf | DNB | 1.94 MB | Adobe PDF | Öffnen/Anzeigen |
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