Pattern recognition in reciprocal space with a magnon-scattering reservoir - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2023

Pattern recognition in reciprocal space 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 as high as 99.4% 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
s41467-023-39452-y.pdf (2.29 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Licence : CC BY - Paternité

Dates et versions

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

Licence

Paternité

Identifiants

Citer

Lukas Körber, Christopher Heins, Tobias Hula, Joo-Von Kim, Sonia Thlang, et al.. Pattern recognition in reciprocal space with a magnon-scattering reservoir. Nature Communications, 2023, 14, pp.3954. ⟨10.1038/s41467-023-39452-y⟩. ⟨hal-03875600v2⟩
15 Consultations
24 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More