Abstract
Abstract: For many systems with quenched disorder the study of ground states can crucially contribute to a thorough understanding of the physics at play, be it for the critical behavior if that is governed by a zero-temperature fixed point or for uncovering properties of the ordered phase. While ground states can in principle be computed using general-purpose optimization algorithms such as simulated annealing or genetic algorithms, it is often much more efficient to use exact or approximate techniques specifically tailored to the problem at hand. For certain systems with discrete degrees of freedom such as the random-field Ising model, there are polynomial-time methods to compute exact ground states. But even as the number of states increases beyond two as in the random-field Potts model, the problem becomes NP hard and one cannot hope to find exact ground states for relevant system sizes. Here, we compare a number of approximate techniques for this problem and evaluate their performance.
Original language | English |
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Article number | 012003 |
Number of pages | 6 |
Journal | Journal of Physics: Conference Series |
Volume | 2241 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2022 |
Event | 33rd Annual CSP Workshop: Recent Developments in Computer Simulation Studies in Condensed Matter Physics - Virtual Duration: 17 Feb 2021 → 21 Mar 2021 |
Bibliographical note
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Published under licence by IOP Publishing Ltd
ASJC Scopus subject areas
- Physics and Astronomy(all)