A hierarchical approach for computing spin glass ground states
Jerome Houdayer, Olivier C. Martin
Abstract
We describe a numerical algorithm for computing spin glass ground states with a high level of reliability. The method uses a population based search and applies optimization on multiple scales. Benchmarks are given leading to estimates of the performance on large lattices.
Create a lesson
Related papers
Coupling spherical p-spin systems
Riccardo Cipolloni, Leticia F. Cugliandolo
Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
Yuto Sakurai, Takeaki Shimokawa, Kazunori Iwata et al.
Latent kinetic Ising models of neural spike trains
Davide Ghio, David Saad
Nonlocal Magic across the Many-Body Localization Crossover
Shan-Zhong Li, Zhi Li
Statistical levels and spatial modes of Fock-space heterogeneity in many-body localization crossovers
Yu-Jing Liu, Chen Cheng
Disorder-Tailored Delocalization
Yeongjun Kim, Supriyo Ghosh, Sergej Flach