Artificial intelligence and its applications in quantum physics

Abstract

This research project aims to develop a methodology that can be applied to two main aspects of quantum physics: quantum error protection and quantum phase transitions. We will focus on various artificial intelligence techniques, from the most simplistic to the most sophisticated models. In the case of quantum error protection, we will use these algorithms in order to maximize the efficiency of these protection techniques, especially the dynamic decoupling. In addition, we also aim to study the quantum phase transitions in different regimes. In this case, we focus on whether classifiers trained in simplistic models are able to detect quantum phase transitions in more complex models. Finally, still considering the quantum phase transitions, we intend through characteristic selection techniques to determine which physical observables are most relevant in determining the phase transitions. We intend to introduce new strategies for the study of protective techniques and quantum phase transitions, now guided by computational methods based on artificial intelligence. (AU)