Topological magnetic and ferroelectric systems for reservoir computing

Abstract

Topological spin textures in magnetic materials and arrangements of electric dipoles in ferroelectrics are considered to be promising candidates for next-generation information technology and unconventional computing. Exciting examples are magnetic skyrmions and ferroelectric domain walls. We discuss how the physical properties of these topological nanoscale systems can be leveraged for reservoir computing, that is, for translating non-linear problems into linearly solvable ones. They fulfill the requirements for non-linearity, complexity, short-term memory and reproducibility, giving new opportunities for the downscaling of devices, enhanced complexity and versatile input and readout options. We also discuss the practical challenges and opportunities for exploiting the unique properties of these systems. This Perspective explores how the physical properties of these topological nanoscale systems, such as magnetic skyrmions and ferroelectric domain walls, can be leveraged for reservoir computing.