论文标题
带有平面纳米磁性阵列的储层计算
Reservoir Computing with Planar Nanomagnet Arrays
论文作者
论文摘要
储层计算是一种新兴的神经形态计算方法，它特别适合于大小，重量和功率（交换）受约束环境的硬件实现。这项工作建议使用平面纳米磁体阵列对储层计算机进行新颖的硬件实现。通过微磁模拟证明了一个小的纳米磁体储层，以便能够以100％精度识别简单的波形。平面纳米磁体储层是对日益增长的神经形态硬件需求的有前途的新解决方案。
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.
