Second Renormalization of Tensor-Network States

Z. Y. Xie, H. C. Jiang, Q. N. Chen, Z. Y. Weng, and T. Xiang

Phys. Rev. Lett. 103, 160601 – Published 12 October 2009

Abstract

We propose a second renormalization group method to handle the tensor-network states or models. This method dramatically reduces the truncation error of the tensor renormalization group. It allows physical quantities of classical tensor-network models or tensor-network ground states of quantum systems to be accurately and efficiently determined.

Received 21 September 2008

DOI:https://doi.org/10.1103/PhysRevLett.103.160601

Authors & Affiliations

Z. Y. Xie¹, H. C. Jiang², Q. N. Chen¹, Z. Y. Weng², and T. Xiang^3,1,*

¹Institute of Theoretical Physics, Chinese Academy of Sciences, P.O. Box 2735, Beijing 100190, China
²Center for Advanced Study, Tsinghua University, Beijing, 100084, China
³Institute of Physics, Chinese Academy of Sciences, P.O. Box 603, Beijing 100190, China

^*txiang@aphy.iphy.ac.cn

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Vol. 103, Iss. 16 — 16 October 2009

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Physical Review Letters

Second Renormalization of Tensor-Network States

Z. Y. Xie, H. C. Jiang, Q. N. Chen, Z. Y. Weng, and T. Xiang

Phys. Rev. Lett. 103, 160601 – Published 12 October 2009

Abstract

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