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Simulation of three-dimensional quantum systems with projected entangled-pair states
Open accessAbstract
Tensor network algorithms have proven to be very powerful tools for studying one- and two-dimensional quantum many-body systems. However, their application to three-dimensional (3D) quantum systems has so far been limited, mostly because the efficient contraction of a 3D tensor network is very challenging. In this paper, we develop and benchmark two contraction approaches for infinite projected entangled-pair states (iPEPS) in 3D. The first approach is based on a contraction of a finite cluster of tensors including an effective environment to approximate the full 3D network. The second approach performs a full contraction of the network by first iteratively contracting layers of the network with a boundary iPEPS, followed by a contraction of the resulting quasi-2D network using the corner transfer matrix renormalization group. Benchmark data for the Heisenberg and Bose-Hubbard models on the cubic lattice show that the algorithms provide competitive results compared to other approaches, making iPEPS a promising tool to study challenging open problems in 3D.
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As the size of PEPS tensors is exponential in d, the methodology quickly becomes impractical, with extreme restrictions on feasible simulations even in three dimensions.
“Moreover, as the size of the tensors is exponential in d, this methodology quickly becomes impractical, with extreme restrictions on feasible simulations even in three dimensions 54 .”
From Beyond-classical computation in quantum simulation (2025) · cites this paper as [54]
The iPEPS ansatz section describes six D-dimensional auxiliary indices for a 3D tensor, and the Introduction says the additional legs increase computational cost. Section III reports that a large-cluster contraction typically is feasible only at D = 2. But the paper does not characterize 3D iPEPS as generally impractical: its Summary presents a practical method at reasonable cost. It also uses d for the local physical-index dimension, not spatial dimension. (LLM, conf=0.87)
Experimental — accuracy not yet measuredNeighborhood-update costs, beyond simple update, have severe scaling as local loops are incorporated in higher-dimensional lattices.
“Neighborhood-update costs, beyond simple update, have severe scaling as local loops are incorporated in higher-dimensional lattices 54 .”
From Beyond-classical computation in quantum simulation (2025) · cites this paper as [54]
Section III (p. 205137-3) says small 3D cluster contractions neglect loops and that larger clusters have steep costs, reaching O(D^29). The Summary and Discussion (p. 205137-9) says a cluster update would cost more than simple update, but does not establish that incorporating local loops causes severe scaling for neighborhood updates specifically; the quantified scaling is for contractions. (LLM, conf=0.86)
Experimental — accuracy not yet measuredEven on the 3D simple cubic lattice, scaling of basic neighborhood bra-ket contractions (beyond locally tree-like approximations) can be as severe as O(D 29 ), thereby limiting bond dimension to D ≤ 2 and hence reducing the support for entanglement.
“Even on the 3D simple cubic lattice, scaling of basic neighborhood bra-ket contractions (beyond locally tree-like approximations) can be as severe as O(D 29 ), thereby limiting bond dimension to D ≤ 2 and hence reducing the support for entanglement 54 .”
From Beyond-classical computation in quantum simulation (2025) · cites this paper as [54]
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Experimental — accuracy not yet measuredThe deterministic scheme employing double-layer PEPS is not practical beyond D = 4.
“The deterministic scheme employing double-layer PEPS 54 is not practical beyond D = 4.”
From Beyond-classical computation in quantum simulation (2025) · cites this paper as [54]
Section IV describes a double-layer boundary-iPEPS contraction, and the Heisenberg-model section reports simulations through D = 4. The paper also reports steep computational scaling, but it does not state that the scheme is impractical beyond D = 4; D = 4 is the largest value tested there. (LLM, conf=0.82)
Experimental — accuracy not yet measured
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Cites
Boson localization and the superfluid-insulator transition
Fisher, M. P. A., Weichman, P. B., Grinstein, G., & Fisher, D. S. (1989) · Physical Review B · doi:10.1103/physrevb.40.546 · Cited by 3,512
Orús, R., & Vidal, G. (2009) · Physical Review B · doi:10.1103/physrevb.80.094403 · Cited by 387
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Research works printed but not linked: 102
- 10.1007/BF02099178 · DOI · Paper page
- 10.1103/PhysRevLett.75.3537 · DOI · Paper page
- 10.1103/PhysRevLett.69.2863 · DOI · Paper page
- 10.1016/j.aop.2010.09.012 · DOI · Paper page
- 10.1103/PhysRevA.75.033605 · DOI
- 10.1088/1367-2630/1/1/007 · DOI
- 10.1103/PhysRevE.64.016705 · DOI
- 10.1103/PhysRevLett.101.250602 · DOI · Paper page
- 10.1103/PhysRevLett.112.147203 · DOI
- 10.1103/PhysRevLett.113.046402 · DOI
- 10.1103/PhysRevLett.118.137202 · DOI
- 10.21468/SciPostPhys.3.4.030 · DOI
- 10.1126/science.aam7127 · DOI · Paper page
- 10.1103/PhysRevB.97.174408 · DOI
- 10.1103/PhysRevB.100.195141 · DOI
- 10.1103/PhysRevB.100.035134 · DOI
- 10.1016/j.aop.2020.168292 · DOI
- 10.1038/s41467-019-10410-x · DOI
- 10.1038/s41467-020-15320-x · DOI
- 10.1103/PhysRevLett.125.017201 · DOI
- 10.21468/SciPostPhys.10.1.012 · DOI
- 10.1103/PhysRevLett.106.127202 · DOI
- 10.1103/PhysRevB.86.134429 · DOI
- 10.1103/PhysRevB.86.245101 · DOI
- 10.1103/PhysRevB.88.064407 · DOI
- 10.1103/PhysRevB.92.035120 · DOI
- 10.1103/PhysRevB.92.035152 · DOI
- 10.1103/PhysRevB.95.075140 · DOI
- 10.1103/PhysRevB.95.214409 · DOI
- 10.1103/PhysRevB.96.014420 · DOI
- 10.1103/PhysRevB.97.075146 · DOI
- 10.1103/PhysRevB.98.045110 · DOI
- 10.1016/j.scib.2018.11.007 · DOI
- 10.1103/PhysRevLett.122.070502 · DOI
- 10.1103/PhysRevB.99.035115 · DOI
- 10.1103/PhysRevB.99.205132 · DOI
- 10.1103/PhysRevResearch.1.033038 · DOI
- 10.1103/PhysRevB.99.245107 · DOI
- 10.1103/PhysRevB.100.165147 · DOI
- 10.1038/s41586-021-03411-8 · DOI
- 10.1103/PhysRevB.103.075113 · DOI
- 10.1103/PhysRevB.99.165121 · DOI
- 10.1103/PhysRevB.101.195109 · DOI
- 10.21468/SciPostPhys.6.3.031 · DOI
- 10.21468/SciPostPhys.8.2.021 · DOI
- 10.1103/PhysRevB.102.235132 · DOI
- 10.1038/s41467-017-01511-6 · DOI
- 10.1143/JPSJ.65.891 · DOI
- 10.1103/PhysRevB.98.235148 · DOI · Paper page
- 10.1103/PhysRevLett.99.120601 · DOI
- 10.1103/PhysRevLett.103.160601 · DOI
- 10.1103/PhysRevB.86.045139 · DOI
- 10.1103/PhysRevLett.115.180405 · DOI
- 10.1103/PhysRevB.95.045117 · DOI
- 10.1103/PhysRevLett.93.040502 · DOI · Paper page
- 10.1103/PhysRevB.97.045145 · DOI · Paper page
- 10.1143/JPSJ.67.3066 · DOI
- 10.1103/PhysRevB.85.205117 · DOI
- 10.1103/PhysRevB.87.085130 · DOI
- 10.1016/j.physa.2016.12.080 · DOI
- 10.1016/S0550-3213(00)00133-4 · DOI
- 10.1143/PTP.105.409 · DOI
- 10.1103/PhysRevE.65.046702 · DOI
- 10.1143/PTP.110.691 · DOI
- 10.1103/PhysRevB.71.024404 · DOI
- 10.1103/PhysRevE.98.042145 · DOI
- 10.1103/PhysRevLett.101.090603 · DOI · Paper page
- 10.1103/PhysRevB.92.035142 · DOI · Paper page
- 10.1103/PhysRevB.96.155120 · DOI
- 10.1103/PhysRevB.99.195105 · DOI
- 10.1038/s41598-020-75548-x · DOI
- 10.1103/PhysRevB.91.064415 · DOI
- 10.1103/PhysRevB.93.060407 · DOI
- 10.1088/1367-2630/16/3/033014 · DOI
- 10.1103/PhysRevB.90.064425 · DOI · Paper page
- 10.1103/PhysRevB.94.035133 · DOI · Paper page
- 10.1103/PhysRevB.94.155123 · DOI · Paper page
- 10.1103/PhysRevX.9.031041 · DOI · Paper page
- 10.1103/PhysRevLett.98.070201 · DOI
- 10.1103/PhysRevA.86.022317 · DOI
- 10.1103/PhysRevB.91.115137 · DOI
- 10.1103/PhysRevB.81.165104 · DOI
- 10.1103/PhysRevA.74.022320 · DOI · Paper page
- 10.1103/PhysRevB.77.214431 · DOI
- 10.1016/j.aop.2011.11.012 · DOI
- 10.1103/PhysRevB.86.195137 · DOI
- 10.1103/PhysRevB.88.035138 · DOI
- 10.1103/PhysRevB.83.115125 · DOI
- 10.1103/PhysRevB.83.125106 · DOI
- 10.1103/PhysRevX.8.031030 · DOI
- 10.1103/PhysRevX.8.031031 · DOI
- 10.1016/0375-9601(96)00128-4 · DOI
- 10.1103/PhysRevB.78.024410 · DOI
- 10.1103/PhysRevLett.102.255701 · DOI
- 10.1103/PhysRevB.86.075117 · DOI
- 10.1007/BF01309171 · DOI
- 10.1016/j.jmmm.2006.10.304 · DOI
- 10.1088/1742-5468/2011/05/p05001 · DOI
- 10.1103/PhysRevB.100.035449 · DOI
- 10.1103/PhysRevLett.105.096402 · DOI
- 10.1103/PhysRevB.75.134302 · DOI
- 10.1103/PhysRevB.80.014524 · DOI
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Beyond-classical computation in quantum simulation
King, A. D., Nocera, A., Rams, M. M., Dziarmaga, J., Wiersema, R., Bernoudy, W., Raymond, J., Kaushal, N., Heinsdorf, N., Harris, R., et al. (2025) · Science · doi:10.1126/science.ado6285 · Cited by 138
Metadata
- Authors
- Vlaar, P. C. G., & Corboz, P.
- Affiliations
- Delta Institute for Theoretical Physics (NL)
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2021-05-19
- Volume
- 103
- Issue
- 20
- ISSN
- 2469-9950 (ISSN-L)
- 2469-9969
- OpenAlex
- W3132300084
- Cited by
- 38
- References
- 2
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 7 · 2023: 9 · 2022: 4 · 2021: 2
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical review. B./Physical review. B (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- Horizon 2020 (677061)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Ministerie van Onderwijs, Cultuur en Wetenschap
- 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 › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Keywords
- projected entangled pair states, infinite projected entangled pair states, tensor network contraction, three-dimensional quantum systems, corner transfer matrix renormalization group, Heisenberg model, Bose-Hubbard model, cubic lattice, quantum many-body systems
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