  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.
