Clasificación de transiciones de fase cuánticas mediante aprendizaje automático cuántico.

Sancho Lorente, Teresa
Zueco Láinez, David (dir.)

Universidad de Zaragoza, CIEN, 2021
Física de la Materia Condensada department, Física de la Materia Condensada area

Graduado en Física

Abstract: In this dissertation we discuss an example of quantum computing supremacy based on classification of quantum phase transitions. To do so, we focus our attention in the quantum Ising model and present the results of characterizing its phase transition making use of a machine learning algorithm used to do classification tasks and known as Support Vector Machines.

Tipo de Trabajo Académico: Trabajo Fin de Grado