Tensor networks-a new tool for old problems

Abstract

A new renormalization group approach that maps lattice problems to tensor networks may hold the key to solving seemingly intractable models of strongly correlated systems in any dimension. A Physics Viewpoint on arXiv:0903.1069

5 pages, 2 figures

References in corpus (4)

• Entanglement renormalization
• Tensor-Entanglement-Filtering Renormalization Approach and Symmetry Protected Topological Order
• Tensor renormalization group approach to 2D classical lattice models
• Exploring frustrated spin-systems using Projected Entangled Pair States (PEPS)

Cited by in corpus (5)

• Quantum frustration in organic Mott insulators: from spin liquids to unconventional superconductors
• Tensor Ring Decomposition
• The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems
• Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems
• On the descriptive power of Neural-Networks as constrained Tensor Networks with exponentially large bond dimension