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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.

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Authors (6)
  1. Peng Zhou (138 papers)
  2. Nathan R. McDonald (3 papers)
  3. Alexander J. Edwards (10 papers)
  4. Lisa Loomis (3 papers)
  5. Clare D. Thiem (3 papers)
  6. Joseph S. Friedman (34 papers)
Citations (7)

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