Reservoir Computing with Planar Nanomagnet Arrays
- URL: http://arxiv.org/abs/2003.10948v1
- Date: Tue, 24 Mar 2020 16:25:31 GMT
- Title: Reservoir Computing with Planar Nanomagnet Arrays
- Authors: Peng Zhou, Nathan R. McDonald, Alexander J. Edwards, Lisa Loomis,
Clare D. Thiem, Joseph S. Friedman
- Abstract summary: Planar nanomagnet reservoirs are a promising new solution to the growing need for dedicated neuromorphic hardware.
Planar nanomagnet reservoirs are a promising new solution to the growing need for dedicated neuromorphic hardware.
- Score: 58.40902139823252
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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