Quantum Convolutional Neural Networks

Ainaud Fondevila, Joan

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/215503

Full metadata record

DC Field	Value	Language
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.identifier.uri	https://hdl.handle.net/2445/215503	-
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.language.iso	eng	ca
dc.rights	cc-by-nc-nd (c) Ainaud, 2024	-
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
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca
Appears in Collections:	Treballs Finals de Grau (TFG) - Física

Files in This Item:

File	Description	Size	Format
Memòria-R-Ainaud-Fondevila-Joan.pdf		586.29 kB	Adobe PDF	View/Open

Show simple item record

This item is licensed under a Creative Commons License