%0 Journal Article
%T Bypassing sluggishness: SWAP algorithm and glassiness in high dimensions
%+ Laboratoire Charles Coulomb (L2C)
%A Berthier, Ludovic
%A Charbonneau, Patrick
%A Kundu, Joyjit
%Z Réf Journal: Phys. Rev. E 99, 031301 (2019)
%< avec comité de lecture
%Z L2C:19-027
%@ 1539-3755
%J Physical Review E : Statistical, Nonlinear, and Soft Matter Physics
%I American Physical Society
%P 031301
%8 2019-03-21
%D 2019
%Z 1810.06950
%R 10.1103/PhysRevE.99.031301
%Z Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech]
%Z Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]
%Z Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]Journal articles
%X The recent implementation of a swap Monte Carlo algorithm (SWAP) for polydisperse mixtures fully bypasses computational sluggishness and closes the gap between experimental and simulation timescales in physical dimensions $d=2$ and $3$. Here, we consider suitably optimized systems in $d=2, 3,\dots, 8$, to obtain insights into the performance and underlying physics of SWAP. We show that the speedup obtained decays rapidly with increasing the dimension. SWAP nonetheless delays systematically the onset of the activated dynamics by an amount that remains finite in the limit $d \to \infty$. This shows that the glassy dynamics in high dimensions $d>3$ is now computationally accessible using SWAP, thus opening the door for the systematic consideration of finite-dimensional deviations from the mean-field description.
%G English
%2 https://hal.science/hal-02074910/document
%2 https://hal.science/hal-02074910/file/PhysRevE.99.031301-accepted.pdf
%L hal-02074910
%U https://hal.science/hal-02074910
%~ CNRS
%~ L2C
%~ MIPS
%~ UNIV-MONTPELLIER
%~ UM-2015-2021