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Overcoming the Sign Problem at Finite Temperature: Quantum Tensor Network for the Orbital $e_g$ Model on an Infinite Square Lattice

Strongly Correlated Electrons 2017-07-26 v2 Statistical Mechanics Superconductivity Quantum Physics

Abstract

The variational tensor network renormalization approach to two-dimensional (2D) quantum systems at finite temperature is applied for the first time to a model suffering the notorious quantum Monte Carlo sign problem --- the orbital ege_g model with spatially highly anisotropic orbital interactions. Coarse-graining of the tensor network along the inverse temperature β\beta yields a numerically tractable 2D tensor network representing the Gibbs state. Its bond dimension DD --- limiting the amount of entanglement --- is a natural refinement parameter. Increasing DD we obtain a converged order parameter and its linear susceptibility close to the critical point. They confirm the existence of finite order parameter below the critical temperature TcT_c, provide a numerically exact estimate of~TcT_c, and give the critical exponents within 1%1\% of the 2D Ising universality class.

Keywords

Cite

@article{arxiv.1703.03586,
  title  = {Overcoming the Sign Problem at Finite Temperature: Quantum Tensor Network for the Orbital $e_g$ Model on an Infinite Square Lattice},
  author = {Piotr Czarnik and Jacek Dziarmaga and Andrzej M. Oleś},
  journal= {arXiv preprint arXiv:1703.03586},
  year   = {2017}
}

Comments

8 pages, 8 figures