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Tensor network states and algorithms in the presence of a global U(1) symmetry

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Singh, Sukhwinder, Pfeifer, Robert N. C., Vidal, Guifre·2011·Physical Review B

Abstract

Tensor network decompositions offer an efficient description of certain many-body states of a lattice system and are the basis of a wealth of numerical simulation algorithms. In a recent paper [Phys. Rev. A 82, 050301 (2010)] we discussed how to incorporate a global internal symmetry, given by a compact, completely reducible group $\mathcal{G}$, into tensor network decompositions and algorithms. Here we specialize to the case of Abelian groups and, for concreteness, to a U(1) symmetry, associated, e.g., with particle number conservation. We consider tensor networks made of tensors that are invariant (or covariant) under the symmetry, and explain how to decompose and manipulate such tensors in order to exploit their symmetry. In numerical calculations, the use of U(1)-symmetric tensors allows selection of a specific number of particles, ensures the exact preservation of particle number, and significantly reduces computational costs. We illustrate all these points in the context of the multiscale entanglement renormalization Ansatz.

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Metadata

Authors
Singh, S., Pfeifer, R. N. C., & Vidal, G.
Venue
Physical Review B
Published
2011-03-15
Volume
83
Issue
11
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2135040454
Cited by
287
References
60
FWCI
6.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tensor network states and algorithms in the presence of a global U(1) symmetry. https://app.cochat.ai/papers/10.1103/physrevb.83.115125
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Singh, S., Pfeifer, R. N. C., & Vidal, G. (2011). Tensor network states and algorithms in the presence of a global U(1) symmetry. Physical Review B. https://doi.org/10.1103/physrevb.83.115125

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