Juliá-Díaz, BrunoUrgell Ollé, Núria2023-06-142023-06-142023-01https://hdl.handle.net/2445/199220Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Bruno Juliá-Díaz[en] This thesis focuses on dissipative quantum neural networks, a subfield of quantum machine learning. Classical neural networks and the fundamental concepts of quantum mechanics, crucial for understanding quantum machine learning, are introduced from a mathematical perspective. We exhibit the parallelism between the training algorithms of classical neural networks and dissipative quantum neural networks and establish a mathematical framework to describe classical and quantum neural networks.58 p.application/pdfengcc-by-nc-nd (c) Núria Urgell Ollé, 2023http://creativecommons.org/licenses/by-nc-nd/3.0/es/Computació evolutivaTreballs de fi de grauOrdinadors quànticsXarxes neuronals (Informàtica)Aprenentatge automàticEvolutionary computationBachelor's thesesQuantum computersNeural networks (Computer science)Machine learninginfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess