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Title: Isometric Tensor Network States in Two Dimensions

Journal Article · · Physical Review Letters
 [1];  [2]
  1. Univ. of California, Berkeley, CA (United States)
  2. Technische Univ. Munchen, Garching (Germany); Munich Center for Quantum Science and Technology (MCQST), Munchen (Germany)

Tensor-network states (TNS) are a promising but numerically challenging tool for simulating two-dimensional (2D) quantum many-body problems. We introduce an isometric restriction of the TNS ansatz that allows for highly efficient contraction of the network. Here we consider two concrete applications using this ansatz. First, we show that a matrix-product state representation of a 2D quantum state can be iteratively transformed into an isometric 2D TNS. Second, we introduce a 2D version of the time-evolving block decimation algorithm for approximating of the ground state of a Hamiltonian as an isometric TNS-which we demonstrate for the 2D transverse field Ising model.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; German Research Foundation (DFG); European Union (EU); National Science Foundation (NSF)
Grant/Contract Number:
AC02-05CH11231; PO 1370/2-1; TRR80; 771537; PHY-1607611
OSTI ID:
1603571
Journal Information:
Physical Review Letters, Vol. 124, Issue 3; ISSN 0031-9007
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

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Cited By (6)

Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer journal October 2022
Three-dimensional isometric tensor networks journal June 2021
Holographic quantum algorithms for simulating correlated spin systems journal July 2021
Riemannian optimization of isometric tensor networks journal January 2021
Isometric Tensor Network representation of string-net liquids text January 2019
On Stability of Tensor Networks and Canonical Forms preprint January 2020

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