English

A strategy for solving difficulties in spin-glass simulations

Disordered Systems and Neural Networks 2019-02-11 v2

Abstract

A spin-glass transition has been investigated for a long time but we have not yet reached a conclusion due to difficulties in the simulations. They are slow dynamics, strong finite-size effects, and sample-to-sample dependences. We clarified that these difficulties are mainly caused by a competition between the spin-glass order and the boundary conditions. We also found that the spin-glass order grows fast and reaches the lattice boundary within a very short Monte Carlo step. A key to solve the difficulties is to eliminate the boundary effect first. It was made possible by a dynamic scaling analysis on nonequilibrium relaxation functions in a large-size and short-time regime. The observed quantity was also found to be self-averaging in a limit of large replica number. The spin-glass transition and the chiral-glass transition was clarified to occur at the same temperature in the Heisenberg spin-glass model in three dimensions. The estimated critical exponent ν\nu agrees with the experimental result.

Keywords

Cite

@article{arxiv.1809.02739,
  title  = {A strategy for solving difficulties in spin-glass simulations},
  author = {Tota Nakamura},
  journal= {arXiv preprint arXiv:1809.02739},
  year   = {2019}
}

Comments

10 pages, 10 figures

R2 v1 2026-06-23T03:58:42.188Z