Loop Optimization for Tensor Network Renormalization.
Phys Rev Lett
; 118(11): 110504, 2017 Mar 17.
Article
en En
| MEDLINE
| ID: mdl-28368642
ABSTRACT
We introduce a tensor renormalization group scheme for coarse graining a two-dimensional tensor network that can be successfully applied to both classical and quantum systems on and off criticality. The key innovation in our scheme is to deform a 2D tensor network into small loops and then optimize the tensors on each loop. In this way, we remove short-range entanglement at each iteration step and significantly improve the accuracy and stability of the renormalization flow. We demonstrate our algorithm in the classical Ising model and a frustrated 2D quantum model.
Texto completo:
1
Bases de datos:
MEDLINE
Idioma:
En
Revista:
Phys Rev Lett
Año:
2017
Tipo del documento:
Article
País de afiliación:
Canadá