Regensburg 2022 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 44: Poster Session: Statistical Physics and Critical Phenomena

DY 44.8: Poster

Donnerstag, 8. September 2022, 15:00–18:00, P2

Exploiting Brownian motion and correlations for computing — •Alessandro Pignedoli¹ and Karin Everschor-Sitte² — ¹Twist Group, Faculty of Physics, University of Duisburg-Essen — ²Twist Group, Faculty of Physics, University of Duisburg-Essen

Brownian motion is a natural phenomenon that can be exploited for computing [1]. Particle swarm optimization [2] based on the ideas of swarm intelligence is an example of this sort of computation. While the random motion of particles allows the exploration of the entire phase space of the system, interactions and driving forces break ergodicity. This allows for an efficient solution to an optimization problem, which can be identified by looking at the system's correlations and statistical observables. To accomplish Brownian computation, we employ a Langevin model to describe magnetic skyrmions [3], which are topologically stable magnetic whirls that have been shown to behave like interacting Brownian particles [4].

[1] C.H. Bennett, Int. J. Theor. Phys. 21, 905 (1982). [2] J. Kennedy and R. Eberhart, Proc. of ICNN'95 * Int. Conf. on Neural Networks, 4, 1942 (1995) [3] K. Everschor-Sitte, J. Masell, R. M. Reeve and M. Kläui, J. Appl. Phys. 124, 240901 (2018) [4] J. Zázvorka, et al. Nat. Nanotechnol. 14, 658 (2019)