Reservoir Computing with Planar Nanomagnet Arrays
Peng Zhou, Nathan McDonald, Alexander J. Edwards, Lisa Loomis, Clare Thiem, Joseph S. Friedman · arXiv (Cornell University) · 2020
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.