Tensor networks-a new tool for old problems
Subir Sachdev
TL;DR
This paper discusses a novel tensor network-based renormalization group method that offers a promising new approach to solving complex strongly correlated lattice models across different dimensions.
Contribution
It introduces a new tensor network renormalization technique that could revolutionize the analysis of strongly correlated systems.
Findings
Potential to solve intractable lattice models
Applicable to systems in any dimension
Provides a new perspective on renormalization methods
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
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