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Brownian computing exploits thermal motion of discrete signal carriers(tokens) for computations. In this paper we address two major challenges thathinder competitive realizations of circuits and application of Browniantoken-based computing in actual devices for instance based on magneticskyrmions. To overcome the problem that crossings generate for the fabricationof circuits, we design a crossing-free layout for a composite half-addermodule. This layout greatly simplifies experimental implementations as wirecrossings are effectively avoided. Additionally, our design is shorter to speedup computations compared to conventional designs. To address the key issue ofslow computation based on thermal excitations, we propose to overlay artificialdiffusion induced by an external excitation mechanism. For instance, ifmagnetic skyrmions are used as tokens, artificially induced diffusion byspin-orbit torques or other mechanisms increases the speed of computations byseveral orders of magnitude. Combined with conventional Brownian computing thelatter could greatly enhance the application scenarios of token-based computingfor instance for low power devices such as autonomous sensors with limitedpower that is harvested from the environment.

Circuits and excitations to enable Brownian token-based computing with skyrmions