Tunable Random Number Generators Implemented by Spin-Orbit Torque Driven Stochastic Switching of a Nanomagnet for Probabilistic Spin Logic

Probabilistic spin logic that relies on tunable random number generators (tRNGs) has attracted great interest in unconventional computing paradigm. In this work, we propose an effective tRNG based on spin-orbit torque induced stochastic switching of a nanomagnet with perpendicular magnetic anisotropy. The switching probability is dependent on both the applied in-plane magnetic fields and the currents, and is fitted well with the sigmoidal function. The result provides an alternative building block for unconventional computing systems.