In-plane dominant anisotropy stochastic magnetic tunnel junction for probabilistic computing: A Fokker-Planck study

TL;DR

This study investigates the magnetization dynamics of in-plane anisotropic magnetic tunnel junctions (MTJs) to optimize random bit generation for probabilistic computing, revealing how tuning magnetic fields influences transition behavior and efficiency.

Contribution

It introduces a Fokker-Planck based analysis of in-plane anisotropic MTJs, demonstrating how adjusting magnetic field parameters enhances random bit generation efficiency.

Findings

High random bit generation rate achievable by tuning magnetic field $H_z$.

MTJs maintain fast dynamics even under magnetic fields.

Optimal conditions involve either a barrierless-like or stronger easy plane configuration.

Abstract

Recently there is considerable interest to realize efficient and low-cost true random number generators (RNGs) for practical applications. One important way is through the use of bistable magnetic tunnel junctions (MTJs). Here we study the magnetization dynamics of an MTJ, with a focus to realize efficient random bit generation under the assumption that the orientation dependence of the energy of the nanomagnet is described by two perpendicular in-plane anisotropies. We find that a high rate of random bit generation is achievable away from the pure easy-axis situation by tuning a single parameter $H_z$ so that it is either (a) toward a barrierless-like single easy plane situation when $H_z$ reduces to zero, or (b) toward a stronger easy plane situation when $H_z$ becomes increasingly negative where transitions between low energy states are confined in the stronger easy plane that contains the saddle points. We find that the MTJs maintain their fast magnetization dynamical characteristics even in the presence of a magnetic field. Our findings provide a valuable guide to achieving efficient generation of probabilistic bits for applications in probabilistic computing.