Essential difference between 2D and 3D from the perspective of real-space renormalization group
arXiv:2311.05891 · doi:10.1007/s10955-026-03587-1
Abstract
We point out that area laws of quantum-information concepts indicate limitations of block transformations as well-behaved real-space renormalization group (RG) maps, which in turn guides the design of better RG schemes. Mutual-information area laws imply the difficulty of Kadanoff's block-spin method in two dimensions (2D) or higher due to the growth of short-scale correlations among the spins on the boundary of a block. A leap to the tensor-network RG, in hindsight, follows the guidance of mutual information and is efficient in 2D, thanks to its mixture of quantum and classical perspectives and the saturation of entanglement entropy in 2D. In three dimensions (3D), however, entanglement grows according to the area law, posing a threat to 3D block-tensor map as an apt RG transformation. As a numerical evidence, we show that estimations of 3D Ising critical exponents fail to improve by retaining more couplings. As a guidance to proceed, a tensor-network toy model is proposed to capture the 3D entanglement-entropy area law.
20 pages, 5 figures; clarify the role of entanglement entropy in a block-tensor transformation; add more numerical results to demonstrate the limitation of the block-tensor transformation in 3D
References in corpus (34)
- Area laws for the entanglement entropy - a review
- Entanglement in quantum critical phenomena
- Topological entanglement entropy
- Entanglement renormalization
- Tensor-Entanglement-Filtering Renormalization Approach and Symmetry Protected Topological Order
- Area laws in quantum systems: mutual information and correlations
- Tensor renormalization group approach to 2D classical lattice models
- Precision Islands in the Ising and Models
- Violation of the entropic area law for Fermions
- Coarse-graining renormalization by higher-order singular value decomposition
- Tensor Network Renormalization
- Entanglement entropy: holography and renormalization group
- Loop optimization for tensor network renormalization
- A c-theorem for the entanglement entropy
- Renormalization of tensor networks using graph independent local truncations
- Algorithms for tensor network renormalization
- Anisotropic Tensor Renormalization Group
- Uncovering conformal symmetry in the Ising transition: State-operator correspondence from a fuzzy sphere regularization
- Gauge fixing, canonical forms and optimal truncations in tensor networks with closed loops
- Renormalization group flows of Hamiltonians using tensor networks
- Generalized -Theorem and the Expansion
- Local scale transformations on the lattice with tensor network renormalization
- Phase Transitions of Ferromagnetic Potts Models on the Simple Cubic Lattice
- Accurate exponents from approximate tensor renormalizations
- Entanglement branching operator
- Tensor RG approach to high-temperature fixed point
- Scaling dimensions from linearized tensor renormalization group transformations
- Triad second renormalization group
- Tensor Renormalization Group at Low Temperatures: Discontinuity Fixed Point
- A Parallel Computing Method for the Higher Order Tensor Renormalization Group
- Three-dimensional real space renormalization group with well-controlled approximations
- Rotations, Negative Eigenvalues, and Newton Method in Tensor Network Renormalization Group
- Transfer Matrix and Lattice Dilatation Operator for High-Quality Fixed Points in Tensor Network Renormalization Group
- Tensor renormalization of three-dimensional Potts model