The magnetic maze: a system with tunable scale invariance

A bstract Random magnetic field configurations are ubiquitous in nature. Such fields lead to a variety of dynamical phenomena, including localization and glassy physics in some condensed matter systems and novel transport processes in astrophysical systems. Here we consider the physics of a charged quantum particle moving in a “magnetic maze”: a high-dimensional space filled with a randomly chosen vector potential and a corresponding magnetic field. We derive a path integral description of the model by introducing appropriate collective variables and integrating out the random vector potential, and we solve for the dynamics in the limit of large dimensionality. We derive and analyze the equations of motion for Euclidean and real-time dynamics, and we calculate out-of-time-order correlators. We show that a special choice of vector potential correlations gives rise, in the low temperature limit, to a novel scale-invariant quantum theory with a tunable dynamical exponent. Moreover, we show that the theory is chaotic with a tunable chaos exponent which approaches the chaos bound at low temperature and strong coupling.

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Publication Details

Journal
Journal of High Energy Physics
Published
2024-11-22
DOI
https://doi.org/10.1007/jhep11(2024)132
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

The magnetic maze: a system with tunable scale invariance

Michael Winer, Brian Swingle, Tian-Gang Zhou
Journal of High Energy Physics
Theoretical and Computational Physics
article

The magnetic maze: a system with tunable scale invariance

Michael Winer, Brian Swingle, Tian-Gang Zhou
article en

Abstract

A bstract Random magnetic field configurations are ubiquitous in nature. Such fields lead to a variety of dynamical phenomena, including localization and glassy physics in some condensed matter systems and novel transport processes in astrophysical systems. Here we consider the physics of a charged quantum particle moving in a “magnetic maze”: a high-dimensional space filled with a randomly chosen vector potential and a corresponding magnetic field. We derive a path integral description of the model by introducing appropriate collective variables and integrating out the random vector potential, and we solve for the dynamics in the limit of large dimensionality. We derive and analyze the equations of motion for Euclidean and real-time dynamics, and we calculate out-of-time-order correlators. We show that a special choice of vector potential correlations gives rise, in the low temperature limit, to a novel scale-invariant quantum theory with a tunable dynamical exponent. Moreover, we show that the theory is chaotic with a tunable chaos exponent which approaches the chaos bound at low temperature and strong coupling.

Journal of High Energy PhysicsVol. 2024(11)
University of Maryland, College Park (US), Brandeis University (US), Tsinghua University (CN)
U.S. Department of Energy
Openalex Percentile: Top 87%
Theoretical and Computational Physics
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The magnetic maze: a system with tunable scale invariance — Michael Winer, Brian Swingle, et al. · Journal of High Energy Physics (2024) | TGRS Research Map | TGRS