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Tensor Product Variational Formulation for Quantum Systems

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arxiv cond-mat/0401115 v1 pith:OXC4KSOO submitted 2004-01-08 cond-mat.stat-mech

classification cond-mat.stat-mech
keywords variationalgroupmatrixmethodproductquantumrenormalizationsystems
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We consider a variational problem for the two-dimensional (2D) Heisenberg and XY models, using a trial state which is constructed as a 2D product of local weights. Variational energy is calculated by use of the the corner transfer matrix renormalization group (CTMRG) method, and its upper bound is surveyed. The variational approach is a way of applying the density matrix renormalization group method (DMRG) to infinite size 2D quantum systems.

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Forward citations

Cited by 8 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Mapping twist fields to local operators via tensor networks

    quant-ph 2026-05 unverdicted novelty 7.0 of 10

    Constructs explicit physical local operators whose expectation values match twist field actions in MPS, exact in the injectivity limit and at the center of orthogonality, with numerical tests in the transverse-field I...

  2. Quantum spin liquid phase in the Shastry-Sutherland model revealed by high-precision infinite projected entangled-pair states

    cond-mat.str-el 2025-02 conditional novelty 7.0 of 10

    iPEPS simulations with bond-dimension extrapolation locate a quantum spin liquid phase in the Shastry-Sutherland model for 0.785(5) ≤ J'/J ≤ 0.82(1).

  3. Fast two-dimensional tensor-network contraction via subspace iteration

    cond-mat.str-el 2026-07 conditional novelty 6.5 of 10

    A new CTMRG variant, SI-CTMRG, substitutes QR-based subspace iteration for the dominant large SVD, shifting cost to tensor contractions and enabling state-of-the-art iPEPS calculations on a single H100 GPU.

  4. Accurate computation of the energy variance and $\langle\langle \mathcal{L}^\dagger \mathcal{L} \rangle\rangle$ using iPEPS

    cond-mat.str-el 2025-11 conditional novelty 6.0 of 10

    A large-cell CTMRG algorithm computes iPEPS energy variances accurately and efficiently, enabling zero-variance energy extrapolation and a steady-state quality measure for open quantum systems.

  5. Magnetic phases of the periodic Anderson model in two dimensions

    cond-mat.str-el 2025-01 conditional novelty 6.0 of 10

    At 1.5 electrons per site, the two-dimensional periodic Anderson model hosts a diagonal antiferromagnetic stripe ground state, computed with infinite projected entangled-pair states.

  6. A tensor network formulation of Lattice Gauge Theories based only on symmetric tensors

    hep-lat 2024-12 conditional novelty 6.0 of 10

    A gauge-invariant PEPS ansatz is rebuilt with only globally symmetric tensors by doubling the link symmetry from ZN to ZN×ZN, making standard tensor network libraries applicable.

  7. Effective dimensional reduction of complex systems based on tensor networks

    cond-mat.stat-mech 2024-11 conditional novelty 6.0 of 10

    Matrix Product State approximations of the network epidemic steady state can be tuned by bond dimension and outperform second-order mean-field theory for sufficiently large bond dimensions.

  8. Accelerating two-dimensional tensor network contractions using QR decompositions

    cond-mat.str-el 2025-05 unverdicted novelty 5.0 of 10

    A QR-based CTMRG variant accelerates iPEPS contractions by up to two orders of magnitude on GPUs with no accuracy loss for the Heisenberg and J1-J2 models.

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