English

Few-body systems capture many-body physics: tensor network approach

Strongly Correlated Electrons 2017-10-17 v3 Computational Physics

Abstract

Due to the presence of strong correlations, theoretical or experimental investigations of quantum many-body systems belong to the most challenging tasks in modern physics. Stimulated by tensor networks, we propose a scheme of constructing the few-body models that can be easily accessed by theoretical or experimental means, to accurately capture the ground-state properties of infinite many-body systems in higher dimensions. The general idea is to embed a small bulk of the infinite model in an "entanglement bath" so that the many-body effects can be faithfully mimicked. The approach we propose is efficient, simple, flexible, sign-problem-free, and it directly accesses the thermodynamic limit. The numerical results of the spin models on honeycomb and simple cubic lattices show that the ground-state properties including quantum phase transitions and the critical behaviors are accurately captured by only O(10)\mathcal{O}(10) physical and bath sites. Moreover, since the few-body Hamiltonian only contains local interactions among a handful of sites, our work provides new ways of studying the many-body phenomena in the infinite strongly-correlated systems by mimicking them in the few-body experiments using cold atoms/ions, or developing novel quantum devices by utilizing the many-body features.

Keywords

Cite

@article{arxiv.1703.09814,
  title  = {Few-body systems capture many-body physics: tensor network approach},
  author = {Shi-Ju Ran and Angelo Piga and Cheng Peng and Gang Su and Maciej Lewenstein},
  journal= {arXiv preprint arXiv:1703.09814},
  year   = {2017}
}

Comments

15 pages, 8+5 figures

R2 v1 2026-06-22T19:00:06.455Z