Neuromorphic Spintronics

TL;DR

Neuromorphic spintronics merges neuromorphic computing and spintronics to develop brain-inspired, energy-efficient systems, with examples like neural networks and reservoir computing demonstrating its potential to transform computational technology.

Contribution

This chapter introduces neuromorphic spintronics, illustrating its applications and potential to advance efficient, brain-inspired computing systems by integrating spintronics with neuromorphic principles.

Findings

Potential for revolutionizing computational efficiency

Examples include neural networks and reservoir computing

Highlights the unique properties of electron spin in computing

Abstract

Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the unique properties of the electron's spin. In this book chapter, we first introduce both fields - neuromorphic computing and spintronics and then make a case for neuromorphic spintronics. We discuss concrete examples of neuromorphic spintronics, including computing based on fluctuations, artificial neural networks, and reservoir computing, highlighting their potential to revolutionize computational efficiency and functionality.