학술논문

Reservoir Computing with Planar Nanomagnet Arrays
Document Type
Working Paper
Source
Subject
Computer Science - Neural and Evolutionary Computing
Computer Science - Emerging Technologies
Physics - Applied Physics
Language
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.