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arxiv: 2211.02328 · v1 · pith:A6ZGWOXWnew · submitted 2022-11-04 · ❄️ cond-mat.mes-hall · physics.app-ph

Pattern recognition with a magnon-scattering reservoir

classification ❄️ cond-mat.mes-hall physics.app-ph
keywords magneticmodesrecognitionexcitationsinputpatternscatteringsequences
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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.

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