USING ENTANGLEMENT ASPECTS, FOR EXAMPLE, BLOCK CORRELATION MATRICES, AND DEEP LEARNING ONE CAN DETERMINE THE TOPOLOGICAL PROPERTIES SUCH AS TOPOLOGICAL PHASE TRANSITIONS
Abstract
In this proposal, we study the topological matters in condensed matter by using quantum information and deep learning. 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 the deep learning approach. Our goal is to investigate which information quantities are sufficient for distinguish different phases in an accurate way.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 11, 2021
- Source ID
- FA23862014049
Entities
People
- Ming-chiang Chung
Organizations
- Air Force Office of Scientific Research
- National Chung Hsing University
- United States Air Force