Coarse-graining renormalization by higher-order singular value decomposition

Z. Y. Xie, J. Chen, M. P. Qin, J. W. Zhu, L. P. Yang, and T. Xiang
Phys. Rev. B 86, 045139 – Published 30 July 2012

Abstract

We propose a novel coarse-graining tensor renormalization group method based on the higher-order singular value decomposition. This method provides an accurate but low computational cost technique for studying both classical and quantum lattice models in two or three dimensions. We have demonstrated this method using the Ising model on the square and cubic lattices. By keeping up to 16 bond basis states, we obtain by far the most accurate numerical renormalization group results for the three-dimensional Ising model. We have also applied the method to study the ground state as well as finite temperature properties for the two-dimensional quantum transverse Ising model and obtain the results which are consistent with published data.

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  • Received 9 January 2012

DOI:https://doi.org/10.1103/PhysRevB.86.045139

©2012 American Physical Society

Authors & Affiliations

Z. Y. Xie1, J. Chen2, M. P. Qin2, J. W. Zhu3, L. P. Yang4, and T. Xiang2,1,*

  • 1Institute of Theoretical Physics, Chinese Academy of Sciences, P.O. Box 2735, Beijing 100190, China
  • 2Institute of Physics, Chinese Academy of Sciences, P.O. Box 603, Beijing 100190, China
  • 3Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
  • 4Beijing Computational Science Research Center, Beijing, 100084, China

  • *txiang@aphy.iphy.ac.cn

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Issue

Vol. 86, Iss. 4 — 15 July 2012

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