Latorre, José IgnacioGil Fuster, Elies M.2019-09-172019-09-172019-01https://hdl.handle.net/2445/140318Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutor: José Ignacio LatorreIn this work we propose a quantum alternative to Artificial Neural Networks in classification tasks. We design a set of different neural networks and quantum circuits and test their performances. We found that a Variational Quantum Classifier can outperform a classical model using far less free parameters and, thus, being more eficient. Further, a complex classification task requires deeper quantum circuits, which nevertheless grow at a slower pace than the number of neurons needed in a Neural Network for the same task.5 p.application/pdfengcc-by-nc-nd (c) Gil, 2019http://creativecommons.org/licenses/by-nc-nd/3.0/es/Xarxes neuronals (Informàtica)Ordinadors quànticsTreballs de fi de grauNeural networks (Computer science)Quantum computersBachelor's thesesinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess