使用skyrmions实现基于布朗令牌的计算的电路和激励
Circuits and excitations to enable Brownian token-based computing with skyrmions
摘要：
布朗计算利用离散信号载体（令牌）的热运动进行计算。在本文中，我们解决了阻碍电路竞争实现和基于布朗令牌的计算在实际设备（例如基于磁skyrmions）中应用的两个主要挑战。为了克服交叉对电路制造的影响，我们设计了一个复合半加器模块的无交叉版图。这种布局大大简化了实验实现，因为有效地避免了导线交叉。此外，与传统设计相比，我们的设计更短，以加快计算速度。为了解决基于热激发的慢计算的关键问题，我们建议覆盖由外部激发机制引起的人工扩散。例如，如果使用磁性Skyrmions作为令牌，则通过自旋轨道扭矩或其他机制人为诱导的扩散将计算速度提高几个数量级。与传统的布朗计算相结合，后者可以大大增强基于令牌的计算的应用场景，例如用于低功率设备，例如从环境中收集的功率有限的自主传感器。
英文摘要：
Brownian computing exploits thermal motion of discrete signal carriers (tokens) for computations. In this paper we address two major challenges that hinder competitive realizations of circuits and application of Brownian token-based computing in actual devices for instance based on magnetic skyrmions. To overcome the problem that crossings generate for the fabrication of circuits, we design a crossing-free layout for a composite half-adder module. This layout greatly simplifies experimental implementations as wire crossings are effectively avoided. Additionally, our design is shorter to speed up computations compared to conventional designs. To address the key issue of slow computation based on thermal excitations, we propose to overlay artificial diffusion induced by an external excitation mechanism. For instance, if magnetic skyrmions are used as tokens, artificially induced diffusion by spin-orbit torques or other mechanisms increases the speed of computations by several orders of magnitude. Combined with conventional Brownian computing the latter could greatly enhance the application scenarios of token-based computing for instance for low power devices such as autonomous sensors with limited power that is harvested from the environment.
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