Stochastic Computing Implemented by Skyrmionic Logic Devices
Haoyang Zhang, Daoqian Zhu, Wang Kang, Youguang Zhang, Weisheng, Zhao

TL;DR
This paper demonstrates the implementation of stochastic computing using skyrmionic logic devices, including multipliers and multiplexers, with improved robustness and potential for optimized performance in advanced materials.
Contribution
It introduces skyrmionic logic devices for stochastic computing, including novel designs for AND-OR logic and multiplexers, with control mechanisms like VCMA and SOT, validated through micromagnetic simulations.
Findings
Successful simulation of 3-bit stochastic multiplier and adder.
Enhanced robustness via voltage-controlled magnetic anisotropy.
Potential for performance optimization in synthetic antiferromagnets.
Abstract
Magnetic skyrmion, topologically non-trivial spin texture, has been considered as promising information carrier in future electronic devices because of its nanoscale size, low depinning current density and high motion velocity. Despite the broad interests in skyrmion racetrack memory, researchers have been recently exploiting logic functions enabled by using the particle-like behaviors of skyrmions. These functions can be applied to unconventional computing, such as stochastic computing (SC), which treats data as probabilities and is superior to binary computing due to its simplicity of logic operation. In this work, we demonstrate SC implemented by skyrmionic logic devices. We propose a skyrmionic AND-OR logic device as a multiplier in the stochastic domain and two skyrmionic multiplexer (MUX) logic devices as stochastic adders. With the assist of voltage controlled magnetic anisotropy…
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