The area law and real-space renormalization
arXiv:1301.2608 · doi:10.1103/PhysRevB.87.125139
Abstract
Real-space renormalization-group techniques for quantum systems can be divided into two basic categories - those capable of representing correlations following a simple boundary (or area) law, and those which are not. I discuss the scaling of the accuracy of gapped systems in the latter case and analyze the resultant spatial anisotropy. It is apparent that particular points in the system, that are somehow `central' in the renormalization, have local quantities that are much closer to the exact results in the thermodynamic limit than the system-wide average. Numerical results from the tree-tensor network and tensor renormalization-group approaches for the 2D transverse-field Ising model and 3D classical Ising model, respectively, clearly demonstrate this effect.
6 pages, 6 figures
References in corpus (14)
- Classical simulation of infinite-size quantum lattice systems in two spatial dimensions
- The ALPS project release 1.3: open source software for strongly correlated systems
- Tensor renormalization group approach to 2D classical lattice models
- Accurate determination of tensor network state of quantum lattice models in two dimensions
- Scaling of entanglement support for Matrix Product States
- Tensor-entanglement renormalization group approach to 2D quantum systems
- Simulating Strongly Correlated Quantum Systems with Tree Tensor Networks
- Variational quantum Monte Carlo simulations with tensor-network states
- Matrix product states for critical spin chains: finite size scaling versus finite entanglement scaling
- Strings, Projected Entangled Pair States, and variational Monte Carlo methods
- Monte Carlo simulation with Tensor Network States
- Complete-Graph Tensor Network States: A New Fermionic Wave Function Ansatz for Molecules
- Efficient simulation of infinite tree tensor network states on the Bethe lattice
- Real-space renormalization yields finite correlations