Cited by 206Quantum many-body systemsQuantum Computing Algorithms and ArchitecturePhysics of Superconductivity and Magnetism

Gradient methods for variational optimization of projected entangled-pair states

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Vanderstraeten, Laurens, Haegeman, Jutho, Corboz, Philippe, Verstraete, Frank·2016·Physical Review B

Abstract

The authors present a new method for variationally optimizing projected entangled-pair states (PEPS) in the thermodynamic limit based on the global energy functional and novel tensor contraction strategies. It is successfully benchmarked using Ising and Heisenberg Hamiltonians. The method is completely independent from previous PEPS implementations and improves on the variational energies and order parameters as compared to other state-of-the-art PEPS simulations. The algorithm presented here should prove valuable in simulating ground-state properties of strongly correlated quantum spin systems, can be used with other variational ansatzes, and can be applied to tensor network states in general.

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  • Tangent-space methods can be formulated on systems with periodic boundary conditions, but suffer from higher computational cost.

    “Tangent-space methods can also be formulated on systems with periodic boundary conditions [73], but, just like all MPS methods, suffer from a higher computational cost.”

    From Tangent-space methods for uniform matrix product states (2019) · cites this paper as [73]

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Authors
Vanderstraeten, L., Haegeman, J., Corboz, P., & Verstraete, F.
Affiliations
  • Ghent University (BE)
  • Institute for Theoretical Physics Amsterdam (NL)
  • University of Vienna (AT)
Venue
Physical Review B
Published
2016-10-14
Volume
94
Issue
15
ISSN
  • 2469-9950 (ISSN-L)
  • 2469-9969
OpenAlex
W2469532638
Cited by
206
References
5
Citations by year
2026: 13 · 2025: 21 · 2024: 9 · 2023: 24 · 2022: 23 · 2021: 34 · 2020: 29 · 2019: 20 · 2018: 17 · 2017: 16
FWCI
8.36
Type
journal article
Language
en
Open access
Locations
  • Physical review. B./Physical review. B (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
  • UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • arXiv (Cornell University)
Funders
Fonds Wetenschappelijk Onderzoek
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Physics of Superconductivity and Magnetism
Keywords
projected entangled pair states, variational optimization, gradient-based optimization, tensor contraction, thermodynamic limit, Ising model, Heisenberg model, ground-state properties, tensor network states

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