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Related papers: Circuits and excitations to enable Brownian token-…

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We analyze a token-based Brownian circuit in which Brownian particles, coined `tokens,' move randomly by exploiting thermal fluctuations, searching for a path in multi-token state space corresponding to the solution of a given problem. The…

Statistical Mechanics · Physics 2022-05-24 Yasuhiro Utsumi , Yasuchika Ito , Dimitry Golubev , Ferdinand Peper

Brownian circuits perform computations using stochastic transitions driven by thermal fluctuations. While the energetic costs of such fluctuation-driven computation have been extensively studied within stochastic thermodynamics, much less…

Statistical Mechanics · Physics 2026-02-19 Kota Okajima , Koji Hukushima

Reservoir computing (RC) has been considered as one of the key computational principles beyond von-Neumann computing. Magnetic skyrmions, topological particle-like spin textures in magnetic films are particularly promising for implementing…

Magnetic skyrmions, which exhibit Brownian motion in solid-state systems, are promising candidates as signal carriers for Brownian computing. However, successfully implementing such systems requires two critical components: a Hub to connect…

Mesoscale and Nanoscale Physics · Physics 2025-02-13 H. Imanishi , E. Tamura , S. Miki , R. Ishikawa , H. Nomura , M. Goto , Y. Suzuki

Learning and pattern recognition inevitably requires memory of previous events, a feature that conventional CMOS hardware needs to artificially simulate. Dynamical systems naturally provide the memory, complexity, and nonlinearity needed…

Emerging Technologies · Computer Science 2023-07-12 Oscar Lee , Robin Msiska , Maarten A. Brems , Mathias Klaui , Hidekazu Kurebayashi , Karin Everschor-Sitte

The experimental demonstration of electric skyrmion bubbles and the recent prediction of their Brownian motion have brought topological ferroelectrics close to their magnetic counterparts. Electric bubbles (e-bubbles) could potentially be…

Materials Science · Physics 2025-08-19 Jorge Íñiguez-González , Hugo Aramberri

Thermally activated processes are key to understanding the dynamics of physical systems. Thermal diffusion of (quasi-)particles for instance not only yields information on transport and dissipation processes but is also an exponentially…

Brownian computers utilize thermal fluctuations as a resource for computation and hold promise for achieving ultra-low-energy computations. However, the lack of a statistical direction in Brownian motion necessitates the incorporation of…

Statistical Mechanics · Physics 2025-12-23 Sho Nakade , Ferdinand Peper , Kazuki Kanki , Tomio Petrosky

With the increasing size of quantum processors, sub-modules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design…

In systems possessing a spatial or dynamical symmetry breaking thermal Brownian motion combined with unbiased, non-equilibrium noise gives rise to a channelling of chance that can be used to exercise control over systems at the micro- and…

Statistical Mechanics · Physics 2009-11-10 P. Hänggi , F. Marchesoni , F. Nori

Fastest arrival events, where the first among many diffusing particles reaches a target, are central in triggering signal initiation in molecular stochastic systems. Classical approaches to simulate such events rely on full trajectory…

Probability · Mathematics 2026-05-26 Emmanuel Akame Mfoumou , David Holcman

Brownian simulations can be used to generate statistics relevant for studying molecular interactions or trafficking. However, the concurrent simulation of many Brownian trajectories at can become computationally intractable. Replacing…

Statistical Mechanics · Physics 2020-11-16 Ulrich Dobramysl , David Holcman

Skyrmion nucleation induced by spin-transfer torques at an interface of a topological insulator and a ferromagnetic insulator is investigated. Due to strong spin-orbit coupling on a surface of topological insulators, which enhances the…

Mesoscale and Nanoscale Physics · Physics 2022-11-16 Daichi Kurebayashi , Oleg A. Tretiakov

The fabrication of a skyrmion circuit which stabilizes skyrmions is important to realize micro- to nano-sized skyrmion devices. One example of promising skyrmion-based device is Brownian computers, which have been theoretically proposed,…

The topologically protected magnetic spin configurations known as skyrmions offer promising applications due to their stability, mobility and localization. In this work, we emphasize how to leverage the thermally driven dynamics of an…

Mesoscale and Nanoscale Physics · Physics 2018-06-20 Daniele Pinna , Flavio Abreu Araujo , Joo-Von Kim , Vincent Cros , Damien Querlioz , Perre Bessiere , Jacques Droulez , Julie Grollier

We study the spin-transfer drag mediated by the Brownian motion of skyrmions. The essential idea is illustrated in a two-terminal geometry, in which a thin film of a magnetic insulator is placed in between two metallic reservoirs. An…

Mesoscale and Nanoscale Physics · Physics 2016-08-03 Hector Ochoa , Se Kwon Kim , Yaroslav Tserkovnyak

Improvements in computing performance have significantly slowed down over the past few years owing to the intrinsic limitations of computing hardware. However, the demand for data computing has increased exponentially. To solve this…

Mesoscale and Nanoscale Physics · Physics 2021-04-22 Sai Li , Wang Kang , Xichao Zhang , Tianxiao Nie , Yan Zhou , Kang L. Wang , Weisheng Zhao

Magnetic skyrmions are magnetic quasi-particles with enhanced stability and different manipulation mechanisms using external fields and currents making them promising candidates for future applications for instance in neuromorphic…

Materials Science · Physics 2023-03-30 Thomas Brian Winkler , Jan Rothörl , Maarten A. Brems , Hans Fangohr , Mathias Kläui

The true random number generators (TRNGs) have received extensive attention because of their wide applications in information transmission and encryption. The true random numbers generated by TRNG are typically applied to the encryption…

Applied Physics · Physics 2020-06-24 Yong Yao , Xing Chen , Wang Kang , Youguang Zhang , Weisheng Zhao

Quantum computing is a promising technology that harnesses the peculiarities of quantum mechanics to deliver computational speedups for some problems that are intractable to solve on a classical computer. Current generation noisy…

Numerical Analysis · Mathematics 2022-09-16 Daan Camps , Efekan Kökcü , Lindsay Bassman , Wibe A. de Jong , Alexander F. Kemper , Roel Van Beeumen
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