Quantum Convolutional Neural Networks

dc.contributor.advisor	Rios Huguet, Arnau
dc.contributor.advisor	Rozalén Sarmiento, Javier
dc.contributor.author	Ainaud Fondevila, Joan
dc.date.accessioned	2024-10-01T13:48:11Z
dc.date.available	2024-10-01T13:48:11Z
dc.date.issued	2024-06
dc.description	Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2024, Tutors: Arnau Rios, Javier Rozalén	ca
dc.description.abstract	A combination of Machine Learning techniques with Quantum Computing is presented in the form of a Quantum Convolutional Neural Network. This paradigm is implemented with Python to solve two simple problems. Small scaling of the complexity with respect to the input size is observed, and the detriment of architectures with a lot of depth	ca
dc.format.extent	6 p.
dc.format.mimetype	application/pdf
dc.identifier.uri	https://hdl.handle.net/2445/215503
dc.language.iso	eng	ca
dc.rights	cc-by-nc-nd (c) Ainaud, 2024
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.source	Treballs Finals de Grau (TFG) - Física
dc.subject.classification	Xarxes neuronals convolucionals	cat
dc.subject.classification	Ordinadors quàntics	cat
dc.subject.classification	Treballs de fi de grau	cat
dc.subject.other	Convolutional neural networks	eng
dc.subject.other	Quantum computers	eng
dc.subject.other	Bachelor's theses	eng
dc.title	Quantum Convolutional Neural Networks	eng
dc.type	info:eu-repo/semantics/bachelorThesis	ca

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