Tensor Network Formulation―Developments and Applications―

Abstract

Basic concepts and recent progresses of the tensor network formulation are reviewed. The key feature of the formulation is that it keeps the spatial structure of the entanglement within limited degrees of freedom. A relation between the tensor network formulation and the real-space renormalization group formulation is also explained.