110301 20220210105301.0 TAZ-TFG-2021-3093 eng Sancho Lorente, Teresa Classification of quantum phase transitions using quantum machine learning Clasificación de transiciones de fase cuánticas mediante aprendizaje automático cuántico. Zaragoza Universidad de Zaragoza 2021 by-nc-sa Creative Commons 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ 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. <br /><br /> Graduado en Física Derechos regulados por licencia Creative Commons Zueco Láinez, David dir. Universidad de Zaragoza Física de la Materia Condensada Física de la Materia Condensada 761344@unizar.es 399952 http://zaguan.unizar.es/record/110301/files/TAZ-TFG-2021-3093_ANE.pdf Anexos (eng) 986929 http://zaguan.unizar.es/record/110301/files/TAZ-TFG-2021-3093.pdf Memoria (eng) oai:zaguan.unizar.es:110301 driver trabajos-fin-grado TAZ TFG CIEN 20210628141855.CREATION_DATE deposita:2022-02-10