Deep learning of topological phase transitions from entanglement aspects

Guang-Yu Huang^1*, Tsung-Pao Cheng¹, Yuan-Hong Tsai², Ming-Chiang Chung¹

¹Department of Physics, National Chung Hsing University, Taichung, Taiwan
²Taiwan AI Academy, New Taipei, Taiwan

* Presenter:Guang-Yu Huang, email:hgy850907@gmail.com

The p-wave superconductor proposed by Kitaev has long been a classic example for understanding topological phase transitions through various methods. In order to understand the amount of information carried in the entanglement-related quantities, here we study topological phase transitions of the model with emphasis of using deep learning.

Keywords: p-wave superconductor, deep learning, topological phase