Litcius/Paper detail

Pattern recognition in reciprocal space with a magnon-scattering reservoir

Lukas Körber, Christopher Heins, Tobias Hula, Joo-Von Kim, Sonia Thlang, Helmut Schultheiß, J. Faßbender, Katrin Schultheiß

2023Nature Communications63 citationsDOIOpen Access PDF

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.

Topics & Concepts

PhysicsMagnonAmplitudeScatteringReciprocal latticeVortexNonlinear systemNoise (video)ExcitationCondensed matter physicsComputational physicsOpticsQuantum mechanicsFerromagnetismComputer scienceArtificial intelligenceDiffractionThermodynamicsImage (mathematics)Neural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingMagnetic properties of thin films