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Optimization of infinite projected entangled pair states: The role of multiplets and their breaking

Hasik J.
•
Becca F.
2019
  • journal article

Periodico
PHYSICAL REVIEW. B
Abstract
The infinite projected entangled pair states (iPEPS) technique [J. Jordan et al., Phys. Rev. Lett. 101, 250602 (2008)] has been widely used in the recent years to assess the properties of two-dimensional quantum systems, working directly in the thermodynamic limit. This formalism, which is based upon a tensor-network representation of the ground-state wave function, has several appealing features, e.g., encoding the so-called area law of entanglement entropy by construction; still, the method presents critical issues when dealing with the optimization of tensors in order to find the best possible approximation to the exact ground state of a given Hamiltonian. Here, we discuss the obstacles that arise in the optimization by imaginary-time evolution within the so-called simple and full updates and connect them to the emergence of a sharp multiplet structure in the “virtual” indices of tensors. In this case, a generic choice of the bond dimension D is not compatible with the multiplets and leads to a symmetry breaking (e.g., generating a finite magnetic order). In addition, varying the initial guess, different final states may be reached, with very large deviations in the magnetization value. In order to exemplify this behavior, we show the results of the S=1/2 Heisenberg model on an array of coupled ladders, for which a vanishing magnetization below the critical interladder coupling is recovered only for selected values of D, while a blind optimization with a generic D gives rise to a finite magnetization down to the limit of decoupled ladders.
DOI
10.1103/PhysRevB.100.054429
WOS
WOS:000482085100003
Archivio
http://hdl.handle.net/11368/2952299
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85072018546
http://harvest.aps.org/bagit/articles/10.1103/PhysRevB.100.054429/apsxml
Diritti
closed access
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2952299
Soggetti
  • numerical technique

  • tensor networks

Scopus© citazioni
1
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
4
Data di acquisizione
Mar 7, 2024
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