用于逻辑和神经形态计算的磁skyrmions和域壁

Xuan Hu, Can Cui, Samuel Liu, F. García-Sánchez, Wesley H. Brigner, Benjamin W. Walker, Alexander J. Edwards, T. Xiao, C. Bennett, Naimul Hassan, M. Frank, Jean Anne C Incorvia, J. Friedman
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引用次数: 4

摘要

拓扑孤子是下一代计算系统物理实现的令人兴奋的候选者。由于这些孤子是纳米级的,并且可以以最小的能耗进行控制,因此它们是满足大数据处理和存储时代新兴计算需求的理想选择。磁畴壁(DWs)和磁天幕是两种类型的拓扑孤子,由于它们的非易失性、可扩展性、丰富的物理交互和表现非线性行为的能力,它们对下一代计算系统特别令人兴奋。本文总结了基于磁拓扑孤子的计算系统的发展,重点介绍了基于磁拓扑孤子和磁孤子的逻辑和神经形态计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Magnetic skyrmions and domain walls for logical and neuromorphic computing
Topological solitons are exciting candidates for the physical implementation of next-generation computing systems. As these solitons are nanoscale and can be controlled with minimal energy consumption, they are ideal to fulfill emerging needs for computing in the era of big data processing and storage. Magnetic domain walls (DWs) and magnetic skyrmions are two types of topological solitons that are particularly exciting for next-generation computing systems in light of their non-volatility, scalability, rich physical interactions, and ability to exhibit non-linear behaviors. Here we summarize the development of computing systems based on magnetic topological solitons, highlighting logical and neuromorphic computing with magnetic DWs and skyrmions.
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