Pattern recognition in reciprocal space with a magnon-scattering reservoir

Lukas Körber (), Christopher Heins, Tobias Hula, Joo- Von Kim, Sonia Thlang, Helmut Schultheiss, Jürgen Fassbender and Katrin Schultheiss ()
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Lukas Körber: Helmholtz-Zentrum Dresden - Rossendorf
Christopher Heins: Helmholtz-Zentrum Dresden - Rossendorf
Tobias Hula: Helmholtz-Zentrum Dresden - Rossendorf
Joo- Von Kim: Université Paris-Saclay
Sonia Thlang: Université Paris-Saclay
Helmut Schultheiss: Helmholtz-Zentrum Dresden - Rossendorf
Jürgen Fassbender: Helmholtz-Zentrum Dresden - Rossendorf
Katrin Schultheiss: Helmholtz-Zentrum Dresden - Rossendorf

Nature Communications, 2023, vol. 14, issue 1, 1-7

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-39452-y

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