Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained environments. This work proposes a novel hardware implementation of a reservoir computer using a planar nanomagnet array. A small nanomagnet reservoir is demonstrated via micromagnetic simulations to be able to identify simple waveforms with 100% accuracy. Planar nanomagnet reservoirs are a promising new solution to the growing need for dedicated neuromorphic hardware.
@article{arxiv.2003.10948,
title = {Reservoir Computing with Planar Nanomagnet Arrays},
author = {Peng Zhou and Nathan R. McDonald and Alexander J. Edwards and Lisa Loomis and Clare D. Thiem and Joseph S. Friedman},
journal= {arXiv preprint arXiv:2003.10948},
year = {2020}
}