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Spin waves propagating through a stripe domain structure and reservoircomputing with their spin dynamics have been numerically studied with focusingon the relation between physical phenomena and computing capabilities. Oursystem utilizes a spin-wave-based device that has a continuous magnetic garnetfilm and 1-input/72-output electrodes on the top. To controlspatially-distributed spin dynamics, a stripe magnetic domain structure andamplitude-modulated triangular input waves were used. The spatially-arrangedelectrodes detected spin vector outputs with various nonlinear characteristicsthat were leveraged for reservoir computing. By moderately suppressingnonlinear phenomena, our system achieves 100$\%$ prediction accuracy intemporal exclusive-OR (XOR) problems with a delay step up to 5. At the sametime, it shows perfect inference in delay tasks with a delay step more than 7and its memory capacity has a maximum value of 21. This study demonstrated thatour spin-wave-based reservoir computing has a high potential for edge-computingapplications and also can offer a rich opportunity for further understanding ofthe underlying nonlinear physics.

Spin waves propagating through a stripe magnetic domain structure and their applications to reservoir computing