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Title:

Two-dimensional isometric tensor networks on an infinite strip

Document type:
Zeitschriftenaufsatz
Author(s):
Wu, Yantao; Anand, Sajant; Lin, Sheng-Hsuan; Pollmann, Frank; Zaletel, Michael P.
Abstract:
The exact contraction of a generic two-dimensional (2D) tensor network state (TNS) is known to be exponentially hard, making simulation of 2D systems difficult. The recently introduced class of isometric TNS (isoTNS) represents a subset of TNS that allows for efficient simulation of such systems on finite square lattices. The isoTNS ansatz requires the identification of an “orthogonality column” of tensors, within which one-dimensional matrix product state (MPS) methods can be used for calculati...     »
Journal title:
Physical Review B 2023-06
Year:
2023
Journal volume:
107
Journal issue:
24
Fulltext / DOI:
doi:10.1103/physrevb.107.245118
Publisher:
American Physical Society (APS)
E-ISSN:
2469-99502469-9969
Date of publication:
09.06.2023
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