Use of artificial intelligence in the study of quantum phase transitions

Abstract

This project aims to work a methodology that can quickly and efficiently bring information about the quantum phase transitions considering arbitrary models. We will focus on various artificial intelligence techniques. One of our objectives is to determine if classifiers trained in simplistic models are able to detect the transitions of more complex models. In addition, through characteristic selection techniques, we intend to determine which physical observables are most relevant in determining the transitions. We intend to explore new routines for the study of quantum phase transitions, now guided by computational methods based on artificial intelligence.