Reservoir Computing with Emergent Dynamics in a Magnetic Metamaterial

Abstract

Abstract In Materio reservoir computing (RC) leverages the response of physical systems to perform computation. Dynamic systems with emergent behaviours (where local interactions lead to complex global behaviours) are especially promising for RC, as computational capability is determined by the complexity of the transformation provided. However, it is often difficult to extract these complex behaviours via device tractable measurements that can be interfaced with standard electronics. In this paper, we measure the emergent response of interconnected magnetic nanoring arrays using simple electric transport measurements, observing distinct computationally promising dynamic behaviours in device response. Then, we employ three distinct reservoir architectures that exploit each of the behaviours to perform benchmark tasks with contrasting computational requirements on a single device with state-of-the-art accuracies for spintronic computing platforms.