# Skyrmion Gas Manipulation for Probabilistic Computing

## TL;DR

This paper introduces a skyrmion gas-based device that leverages thermally driven dynamics for probabilistic computing, demonstrating energy efficiency and potential as a bio-inspired computational element.

## Contribution

It proposes a novel skyrmion gas device for probabilistic computing, modeling ensemble dynamics and demonstrating a proof-of-concept with low energy and area requirements.

## Key findings

- Energy-efficient (~μW) device demonstrated
- Reshuffles random signals into uncorrelated copies
- Potential application in stochastic computing and bio-inspired systems

## Abstract

The topologically protected magnetic spin configurations known as skyrmions offer promising applications due to their stability, mobility and localization. In this work, we emphasize how to leverage the thermally driven dynamics of an ensemble of such particles to perform computing tasks. We propose a device employing a skyrmion gas to reshuffle a random signal into an uncorrelated copy of itself. This is demonstrated by modelling the ensemble dynamics in a collective coordinate approach where skyrmion-skyrmion and skyrmion-boundary interactions are accounted for phenomenologically. Our numerical results are used to develop a proof-of-concept for an energy efficient ($\sim\mu\mathrm{W}$) device with a low area imprint ($\sim\mu\mathrm{m}^2$). Whereas its immediate application to stochastic computing circuit designs will be made apparent, we argue that its basic functionality, reminiscent of an integrate-and-fire neuron, qualifies it as a novel bio-inspired building block.