Simulation of two-dimensional quantum systems using a tree tensor network that exploits the entropic area law
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This work explores the use of a tree tensor network ansatz to simulate the ground state of a local Hamiltonian on a two-dimensional lattice. By exploiting the entropic area law, the tree tensor network ansatz seems to produce quasiexact results in systems with sizes well beyond the reach of exact diagonalization techniques. We describe an algorithm to approximate the ground state of a local Hamiltonian on a $L\ifmmode\times\else\texttimes\fi{}L$ lattice with the topology of a torus. Accurate results are obtained for $L={4,6,8}$, whereas approximate results are obtained for larger lattices. As an application of the approach, we analyze the scaling of the ground-state entanglement entropy at the quantum critical point of the model. We confirm the presence of a positive additive constant to the area law for half a torus. We also find a logarithmic additive correction to the entropic area law for a square block. The single copy entanglement for half a torus reveals similar corrections to the area law with a further term proportional to $1/L$.
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In one-dimensional systems, DMRG, MERA and TTN techniques scale favorably and can in principle treat very large systems.
“In the case of 1D systems, DMRG, MERA and TTN techniques scale favorably and can, in principle, treat very large systems [77-79].”
From Can one trust quantum simulators? (2012) · cites this paper as [79]
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Tensor product methods and entanglement optimization for<i>ab initio</i>quantum chemistry
Szalay, S., Pfeffer, M., Murg, V., Barcza, G., Verstraete, F., Schneider, R., & Legeza, Ö. (2015) · International Journal of Quantum Chemistry · doi:10.1002/qua.24898 · Cited by 314 · see citing works
Can one trust quantum simulators?
Hauke, P., Cucchietti, F. M., Tagliacozzo, L., Deutsch, I., & Lewenstein, M. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/8/082401 · Cited by 315 · see citing works
Self-citationTensor network states and algorithms in the presence of a global U(1) symmetry
Singh, S., Pfeifer, R. N. C., & Vidal, G. (2011) · Physical Review B · doi:10.1103/physrevb.83.115125 · Cited by 300 · see citing works
Self-citationLattice gauge theory simulations in the quantum information era
Dalmonte, M., & Montangero, S. (2016) · Contemporary Physics · doi:10.1080/00107514.2016.1151199 · Cited by 271 · see citing works
Tensor Network States and Geometry
Evenbly, G., & Vidal, G. (2011) · Journal of Statistical Physics · doi:10.1007/s10955-011-0237-4 · Cited by 261 · see citing works
Self-citationEntanglement Entropy for the Long-Range Ising Chain in a Transverse Field
Koffel, T., Lewenstein, M., & Tagliacozzo, L. (2012) · Physical Review Letters · doi:10.1103/physrevlett.109.267203 · Cited by 255 · see citing works
Self-citationSimulating strongly correlated quantum systems with tree tensor networks
Murg, V., Verstraete, F., Legeza, Ö., & Noack, R. M. (2010) · Physical Review B · doi:10.1103/physrevb.82.205105 · Cited by 245 · see citing works
Equivalence of restricted Boltzmann machines and tensor network states
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Infinite projected entangled pair states algorithm improved: Fast full update and gauge fixing
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Optical Abelian lattice gauge theories
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Self-citationRenormalization and tensor product states in spin chains and lattices
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Review on novel methods for lattice gauge theories
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Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems
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Self-citationUniversality of Corner Entanglement in Conformal Field Theories
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The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems
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Advances on tensor network theory: symmetries, fermions, entanglement, and holography
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Quantum machine learning for chemistry and physics
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Perfect sampling with unitary tensor networks
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Self-citationTensor Networks for Lattice Gauge Theories with Continuous Groups
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Self-citationEntanglement entropy of two disjoint blocks in critical Ising models
Alba, V., Tagliacozzo, L., & Calabrese, P. (2010) · Physical Review B · doi:10.1103/physrevb.81.060411 · Cited by 134 · see citing works
Self-citationSimulation of interacting fermions with entanglement renormalization
Corboz, P., Evenbly, G., Verstraete, F., & Vidal, G. (2010) · Physical Review A · doi:10.1103/physreva.81.010303 · Cited by 133 · see citing works
Self-citationAnomalies in the entanglement properties of the square-lattice Heisenberg model
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Quantum Monte Carlo calculation of entanglement Rényi entropies for generic quantum systems
Humeniuk, S., & Roscilde, T. (2012) · Physical Review B · doi:10.1103/physrevb.86.235116 · Cited by 125 · see citing works
Tensor Network Algorithms: A Route Map
Bañuls, M. C. (2022) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-040721-022705 · Cited by 129 · see citing works
Tree tensor networks for generative modeling
Cheng, S., Wang, L., Xiang, T., & Zhang, P. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.99.155131 · Cited by 123 · see citing works
Tensor Network Renormalization Yields the Multiscale Entanglement Renormalization Ansatz
Evenbly, G., & Vidal, G. (2015) · Physical Review Letters · doi:10.1103/physrevlett.115.200401 · Cited by 117 · see citing works
Self-citationFinite Correlation Length Scaling with Infinite Projected Entangled-Pair States
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Self-citationOrús, R. (2012) · Physical Review B · doi:10.1103/physrevb.85.205117 · Cited by 112 · see citing works
Entanglement negativity in the critical Ising chain
Calabrese, P., Tagliacozzo, L., & Erik Tonni, C. (2013) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2013/05/p05002 · Cited by 120 · see citing works
Self-citationTensor network states and algorithms in the presence of a global SU(2) symmetry
Singh, S., & Vidal, G. (2012) · Physical Review B · doi:10.1103/physrevb.86.195114 · Cited by 120 · see citing works
Self-citationFork Tensor-Product States: Efficient Multiorbital Real-Time DMFT Solver
Bauernfeind, D., Zingl, M., Triebl, R., Aichhorn, M., & Evertz, H. G. (2017) · Physical Review X · doi:10.1103/physrevx.7.031013 · Cited by 114 · see citing works
Entanglement at a Two-Dimensional Quantum Critical Point: A Numerical Linked-Cluster Expansion Study
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Entanglement renormalization and gauge symmetry
Tagliacozzo, L., & Vidal, G. (2011) · Physical Review B · doi:10.1103/physrevb.83.115127 · Cited by 104 · see citing works
Self-citationMurg, V., Verstraete, F., Schneider, R., Nagy, P. R., & Legeza, O. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/ct501187j · Cited by 97 · see citing works
Entanglement entropy and negativity of disjoint intervals in CFT: some numerical extrapolations
Nobili, C. D., Coser, A., & Erik Tonni, C. (2015) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2015/06/p06021 · Cited by 95 · see citing works
On Rényi entropies of disjoint intervals in conformal field theory
Coser, A., Tagliacozzo, L., & Erik Tonni, C. (2014) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2014/01/p01008 · Cited by 106 · see citing works
Self-citationMany-Body Magic Via Pauli-Markov Chains—From Criticality to Gauge Theories
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Chiral topological phases from artificial neural networks
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Variational approach to projected entangled pair states at finite temperature
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Entanglement Spectrum of the Two-Dimensional Bose-Hubbard Model
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Entanglement negativity and conformal field theory: a Monte Carlo study
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Tensor Networks and Quantum Error Correction
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Entanglement entropy of two disjoint intervals inc= 1 theories
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Self-citationTensor operators: Constructions and applications for long-range interaction systems
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Efficient simulation of infinite tree tensor network states on the Bethe lattice
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Unconstrained tree tensor network: An adaptive gauge picture for enhanced performance
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Fractional quantum Hall effect in the interacting Hofstadter model via tensor networks
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Faster identification of optimal contraction sequences for tensor networks
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Class of Highly Entangled Many-Body States that can be Efficiently Simulated
Evenbly, G., & Vidal, G. (2014) · Physical Review Letters · doi:10.1103/physrevlett.112.240502 · Cited by 78 · see citing works
Self-citationComputing vibrational eigenstates with tree tensor network states (TTNS)
Larsson, H. R. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5130390 · Cited by 76 · see citing works
Gauge fixing, canonical forms, and optimal truncations in tensor networks with closed loops
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Self-citationEntanglement entropy of two disjoint intervals from fusion algebra of twist fields
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Barren plateaus in quantum tensor network optimization
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A contour for the entanglement entropies in harmonic lattices
Coser, A., Nobili, C. D., & Erik Tonni, C. (2017) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/aa7902 · Cited by 65 · see citing works
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Zhao, J., Chen, B.-B., Wang, Y.-C., Yan, Z., Cheng, M., & Meng, Z. Y. (2022) · npj Quantum Materials · doi:10.1038/s41535-022-00476-0 · Cited by 61 · see citing works
Simulation of anyons with tensor network algorithms
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Self-citationDynamics of the entanglement spectrum in spin chains
Torlai, G., Tagliacozzo, L., & Chiara, G. D. (2014) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2014/06/p06001 · Cited by 55 · see citing works
Self-citationTime dependent variational principle for tree Tensor Networks
Bauernfeind, D., & Aichhorn, M. (2020) · SciPost Physics · doi:10.21468/scipostphys.8.2.024 · Cited by 59 · see citing works
Thermodynamic singularities in the entanglement entropy at a two-dimensional quantum critical point
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Rodríguez-Guzmán, R. R., Jiménez-Hoyos, C. A., Schutski, R., & Scuseria, G. E. (2013) · Physical Review B · doi:10.1103/physrevb.87.235129 · Cited by 52 · see citing works
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Algorithms for Entanglement Renormalization: Boundaries, Impurities and Interfaces
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Self-citationTree tensor network state approach for solving hierarchical equations of motion
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Fourier Transform for Fermionic Systems and the Spectral Tensor Network
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Renormalization group contraction of tensor networks in three dimensions
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Bounds on corner entanglement in quantum critical states
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Tensor networks for quantum machine learning
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Entanglement scaling of fractional quantum Hall states through geometric deformations
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Low entanglement wavefunctions
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Anyonic entanglement renormalization
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Measurement-Induced Phase Transitions on Dynamical Quantum Trees
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Mitigating Barren Plateaus of Variational Quantum Eigensolvers
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Area law and real-space renormalization
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- Authors
- Tagliacozzo, L., Evenbly, G., & Vidal, G.
- Affiliations
- The University of Queensland (AU)
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2009-12-18
- Volume
- 80
- Issue
- 23
- ISSN
- 1098-0121 (ISSN-L)
- 1550-235X
- OpenAlex
- W2118564312
- Cited by
- 261
- References
- 61
- Citations by year
- 2026: 17 · 2025: 20 · 2024: 20 · 2023: 20 · 2022: 10 · 2021: 5 · 2020: 21 · 2019: 22 · 2018: 16 · 2017: 11 · 2016: 8 · 2015: 13 · 2014: 17 · 2013: 16 · 2012: 18
- FWCI
- 8.37
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Physical Review B (publishedVersion)
- arXiv (Cornell University) (publishedVersion)
- arXiv (Cornell University)
- 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 › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Keywords
- tree tensor networks, ground state simulation, local Hamiltonians, two-dimensional quantum systems, entanglement entropy, quantum critical point, logarithmic corrections
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