Pattern recognition with a magnon-scattering reservoir - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail (Preprint/Prepublication) Année : 2022

Pattern recognition with a magnon-scattering reservoir

Résumé

Magnons are elementary excitations in magnetic materials and undergo nonlinear multimode scattering processes at large input powers. In experiments and simulations, we show that the interaction between magnon modes of a confined magnetic vortex can be harnessed for pattern recognition. We study the magnetic response to signals comprising sine wave pulses with frequencies corresponding to radial mode excitations. Three-magnon scattering results in the excitation of different azimuthal modes, whose amplitudes depend strongly on the input sequences. We show that recognition rates above 95% can be attained for four-symbol sequences using the scattered modes, with strong performance maintained with the presence of amplitude noise in the inputs.
Fichier principal
Vignette du fichier
2211.02328.pdf (2.24 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03875600 , version 1 (28-11-2022)
hal-03875600 , version 2 (14-10-2023)

Identifiants

  • HAL Id : hal-03875600 , version 1

Citer

Lukas Körber, Christopher Heins, Tobias Hula, Joo-Von Kim, Helmut Schultheiss, et al.. Pattern recognition with a magnon-scattering reservoir. 2022. ⟨hal-03875600v1⟩
15 Consultations
24 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More