Speaker
Katsumasa Nakayama
(Riken)
Description
We propose a method for the construction of the initial tensor representation and its dependence on the tensor renormalization group (TRG). The TRG method is a numerical calculation technique that utilizes tensor network representations of physical quantities to investigate physical properties without encountering the sign problem.
To apply the TRG method, it is essential to make a typical (locally connected) tensor network suitable for recursive coarse-graining. In this talk, we present a systematic approach for translating a general tensor network into this typical tensor network. Additionally, we discuss the dependence on the details of the initial tensor network.
Primary author
Katsumasa Nakayama
(Riken)
Co-author
Manuel Schneider
(National Yang Ming Chiao Tung University (NYCU), Taiwan)
