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Pattern recognition in reciprocal space with a magnon-scattering reservoir

Körber, L.; Heins, C.; Hula, T.; Kim, J.-V.; Thlang, S.; Schultheiß, H.; Faßbender, J.; Schultheiß, K.

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.

Keywords: spin wave; magnon; vortex; Brillouin-light scattering; BLS; reservoir computing; neuromorphic computing; nonlinear; three-magnon scattering; micromagnetic simulations

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