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Reservoir Computing with Planar Nanomagnet Arrays (2003.10948v1)
Published 24 Mar 2020 in cs.NE, cs.ET, and physics.app-ph
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.
- Peng Zhou (138 papers)
- Nathan R. McDonald (3 papers)
- Alexander J. Edwards (10 papers)
- Lisa Loomis (3 papers)
- Clare D. Thiem (3 papers)
- Joseph S. Friedman (34 papers)