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

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.

arXiv comment10 pages, 5 figures

References in corpus (26)

• Magnetic switching by spin torque from the spin Hall effect
• Adiabatic Quantum Computing
• Roadmap of spin-orbit torques
• Thermally assisted magnetization reversal in the presence of a spin-transfer torque
• Intrinsic optimization using stochastic nanomagnets
• Massively Parallel Probabilistic Computing with Sparse Ising Machines
• Switching Distributions for Perpendicular Spin-Torque Devices within the Macrospin Approximation
• The promise of spintronics for unconventional computing
• Spin-torque switching: Fokker-Planck rate calculation
• A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
• Demonstration of nanosecond operation in stochastic magnetic tunnel junctions
• Probabilistic computing with p-bits
• Low Barrier Nanomagnets as p-bits for Spin Logic
• Low Barrier Magnet Design for Efficient Hardware Binary Stochastic Neurons
• Autonomous Probabilistic Coprocessing with Petaflips per Second
• Mapping Monte Carlo to Langevin dynamics: A Fokker-Planck approach
• Ground State Spin Logic
• Physically consistent numerical solver for time-dependent Fokker-Planck equations
• Spintronics-compatible approach to solving maximum satisfiability problems with probabilistic computing, invertible logic and parallel tempering
• Stochastic magnetic actuated random transducer devices based on perpendicular magnetic tunnel junctions
• Numerical Fokker-Planck study of stochastic write error slope in spin torque switching
• Correlated fluctuations in spin orbit torque-coupled perpendicular nanomagnets
• Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions
• Thermally activated switching rate of a nanomagnet in the presence of spin torque
• Thermal switching rate of a ferromagnetic material with uniaxial anisotropy
• Current-induced switching of magnetic tunnel junctions: Effects of field-like spin-transfer torque, pinned-layer magnetization orientation and temperature