English

Application of the Variational Autoencoder to Detect the Critical Points of the Anisotropic Ising Model

Disordered Systems and Neural Networks 2023-10-31 v1 Statistical Mechanics Strongly Correlated Electrons

Abstract

We generalize the previous study on the application of variational autoencoders to the two-dimensional Ising model to a system with anisotropy. Due to the self-duality property of the system, the critical points can be located exactly for the entire range of anisotropic coupling. This presents an excellent testbed for the validity of using a variational autoencoder to characterize an anisotropic classical model. We reproduce the phase diagram for a wide range of anisotropic couplings and temperatures via a variational autoencoder without the explicit construction of an order parameter. Considering that the partition function of (d+1)(d+1)-dimensional anisotropic models can be mapped to that of the dd-dimensional quantum spin models, the present study provides numerical evidence that a variational autoencoder can be applied to analyze quantum systems via Quantum Monte Carlo.

Keywords

Cite

@article{arxiv.2111.01112,
  title  = {Application of the Variational Autoencoder to Detect the Critical Points of the Anisotropic Ising Model},
  author = {Anshumitra Baul and Nicholas Walker and Juana Moreno and Ka-Ming Tam},
  journal= {arXiv preprint arXiv:2111.01112},
  year   = {2023}
}

Comments

11 pages, 5 figures