On-chip phonon-magnon reservoir for neuromorphic computing

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

Abstract

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.

Citation

Yaremkevich, D. D., Scherbakov, A. V., De Clerk, L., Kukhtaruk, S. M., Nadzeyka, A., Campion, R., Rushforth, A. W., Savel’ev, S., Balanov, A. G., & Bayer, M. (2023). On-chip phonon-magnon reservoir for neuromorphic computing. Nature Communications, 14(1), Article 8296. https://doi.org/10.1038/s41467-023-43891-y

• Journal Article Type: Article
• Acceptance Date: Nov 22, 2023
• Online Publication Date: Dec 14, 2023
• Publication Date: Dec 14, 2023
• Deposit Date: Dec 14, 2023
• Publicly Available Date: Dec 14, 2023
• Journal: Nature Communications
• Electronic ISSN: 2041-1723
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Article Number: 8296
• DOI: https://doi.org/10.1038/s41467-023-43891-y
• Keywords: Ferromagnetism; Information technology; Surfaces, interfaces and thin films
• Public URL: https://nottingham-repository.worktribe.com/output/28429270
• Additional Information: Received: 21 April 2023; Accepted: 22 November 2023; First Online: 14 December 2023; : The authors declare no competing interests.