Frustrated Arrays of Nanomagnets for Efficient Reservoir Computing.
Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou, Nathan McDonald, Lisa Loomis, Clare Thiem, Jayasimha Atulasimha, Joseph S. Friedman · arXiv (Cornell University) · 2021
We simulated our nanomagnet reservoir computer (NMRC) design on benchmark tasks, demonstrating NMRC's high memory content and expressibility. In support of the feasibility of this method, we fabricated a frustrated nanomagnet reservoir layer. Using this structure, we describe a low-power, low-area system with an area-energy-delay product $10^7$ lower than conventional RC systems, that is therefore promising for size, weight, and power (SWaP) constrained applications.