Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves

Satoshi Iihama; Yuya Koike; Shigemi Mizukami; Natsuhiko Yoshinaga

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arXiv · 2301.02193

Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves

Satoshi Iihama·Yuya Koike·Shigemi Mizukami·Natsuhiko Yoshinaga

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Abstract

Neuromorphic computing using spin waves is promising for high-speed nanoscale devices, but the realization of high performance has not yet been achieved. Here we show, using micromagnetic simulations and simplified theory with response functions, that spin-wave physical reservoir computing can achieve miniaturization down to nanoscales keeping high computational power comparable with other state-of-art systems. We also show the scaling of system sizes with the propagation speed of spin waves plays a key role to achieve high performance at nanoscales.

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Satoshi Iihama, Yuya Koike, Shigemi Mizukami, Natsuhiko Yoshinaga. 2023-01-05. Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves. https://arxiv.org/abs/2301.02193

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