Information dynamics, natural computing and Maxwell's demon in two skyrmions system
Yoshishige Suzuki, Hiroki Mori, Soma Miki, Kota Emoto, Ryo Ishikawa, Eiiti Tamura, Hikaru Nomura, Minori Goto

TL;DR
This paper experimentally evaluates the information dynamics of a two-skyrmion system at room temperature, demonstrating its computational potential and proposing a solid-state Maxwell's demon based on this system.
Contribution
It introduces an experimental analysis of information flow in a two-skyrmion system and proposes a room-temperature Maxwell's demon leveraging this system's properties.
Findings
The system exhibits finite nonlinear XOR computational capability.
Information transfer speed and non-Markovian properties are characterized.
A solid-state Maxwell's demon operating at room temperature is proposed.
Abstract
The probabilistic information flow and natural computational capability of a system with two magnetic skyrmions at room temperature have been experimentally evaluated. Based on this evaluation, an all-solid-state built-in Maxwell's demon operating at room temperature is also proposed. Probabilistic behavior has gained attention for its potential to enable unconventional computing paradigms. However, information propagation and computation in such systems are more complex than in conventional computers, making their visualization essential. In this study, a two-skyrmion system confined within a square potential well at thermal equilibrium was analyzed using information thermodynamics. Transfer entropy and the time derivative of mutual information were employed to investigate the information propagation speed, the absence of a Maxwell's demon in thermal equilibrium, and the system's…
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Taxonomy
TopicsNeural Networks and Applications · Computability, Logic, AI Algorithms
