Pattern recognition in reciprocal space with a magnon-scattering reservoir

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Lukas Körber - , Chair of Applied Solid State Physics, Helmholtz-Zentrum Dresden-Rossendorf, TUD Dresden University of Technology (Author)
  • Christopher Heins - , Chair of Applied Solid State Physics, Helmholtz-Zentrum Dresden-Rossendorf, TUD Dresden University of Technology (Author)
  • Tobias Hula - , Helmholtz-Zentrum Dresden-Rossendorf, Chemnitz University of Technology (Author)
  • Joo Von Kim - , Université Paris-Saclay (Author)
  • Sonia Thlang - , Université Paris-Saclay (Author)
  • Helmut Schultheiss - , Helmholtz-Zentrum Dresden-Rossendorf, TUD Dresden University of Technology (Author)
  • Jürgen Fassbender - , Chair of Applied Solid State Physics, Helmholtz-Zentrum Dresden-Rossendorf, TUD Dresden University of Technology (Author)
  • Katrin Schultheiss - , Helmholtz-Zentrum Dresden-Rossendorf (Author)

Abstract

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.

Details

Original languageEnglish
Article number3954
JournalNature communications
Volume14
Issue number1
Publication statusPublished - Dec 2023
Peer-reviewedYes

External IDs

PubMed 37402733