Low-temperature emergent neuromorphic networks with correlated oxide devices

TL;DR

This paper proposes a new neuromorphic network platform using correlated oxide devices at low temperatures, leveraging their collective emergent states to mimic neural behavior.

Contribution

It introduces novel network designs based on superconducting and Mott-insulating oxides, demonstrating their potential for neuromorphic computing applications.

Findings

Networks exhibit multiple emergent states depending on configuration

Neuronal behavior achieved with superconducting Josephson junction arrays

Multiple synaptic states realized with hydrogenated rare-earth nickelates

Abstract

Neuromorphic computing which aims to mimic the collective and emergent behavior of the brain's neurons, synapses, axons, dendrites offers an intriguing, potentially disruptive solution to society's ever-growing computational needs. Although much progress has been made in designing circuit elements that mimic the behavior of neurons and synapses, challenges remain in designing networks of elements that feature a collective response behavior. We present simulations of networks of circuits and devices based on superconducting and Mott-insulating oxides that display a multiplicity of emergent states that depend on the spatial configuration of the network. Our proposed network designs are based on experimentally known ways of tuning the properties of these oxides using light ions. We show how neuronal and synaptic behavior can be achieved with arrays of superconducting Josephson junction loops, all within the same device. We also show how a multiplicity of synaptic states could be achieved by designing arrays of devices based on hydrogenated rare-earth nickelates. Together, our results demonstrate a new research platform that utilizes the collective macroscopic properties of quantum materials to mimic the emergent behavior found in biological systems.