GANG SU

Abstract:

Two novel tensor network-based algorithms, say, the linearized tensor renormalization group and the optimized decimation of tensor network with superorthogonalization methods, as well as their applications to quantum spin lattice models, are discussed. Both methods can be applied to explore not only the thermodynamic but also the ground state properties of low-dimensional quantum lattice systems.

Keywords:

• tensor network
• renormalization group
• modified Tucker decomposition
• quantum lattice models