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

Abstract

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

arXiv comment14 pages, 13 figures

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• Thermally-robust spatiotemporal parallel reservoir computing by frequency filtering in frustrated magnets
• Nanoscale Domain Wall Dynamics in Micromagnetic Structures with Weak Perpendicular Anisotropy
• Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
• Quantum reservoir probing: an inverse paradigm of quantum reservoir computing for exploring quantum many-body physics
• Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
• Spin wave resonance in yttrium iron garnet stripe domains
• Metrics for spin-based computing