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undergraduate thesis
Neuronska mreža na kvantnom računalu
Split: University of Split, Faculty of Science, 2023. urn:nbn:hr:166:040570
Marević, Lucija
University of Split
Faculty of Science
Department of Physics

Institutional repository: Repository of Faculty of Science

Cite this document

Marević, L. (2023). Neuronska mreža na kvantnom računalu (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:040570

Marević, Lucija. "Neuronska mreža na kvantnom računalu." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:040570

Marević, Lucija. "Neuronska mreža na kvantnom računalu." Undergraduate thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:040570

Marević, L. (2023). 'Neuronska mreža na kvantnom računalu', Undergraduate thesis, University of Split, Faculty of Science, accessed 07 August 2024, https://urn.nsk.hr/urn:nbn:hr:166:040570

Marević L. Neuronska mreža na kvantnom računalu [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 August 07] Available at: https://urn.nsk.hr/urn:nbn:hr:166:040570

L. Marević, "Neuronska mreža na kvantnom računalu", Undergraduate thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:040570

Metadata
TitleNeuronska mreža na kvantnom računalu
Title (english)Quantum neural networks
AuthorLucija Marević
MentorLeandra Vranješ Markić (mentor)
Committee memberLeandra Vranješ Markić (predsjednik povjerenstva)
Committee memberLarisa Zoranić (član povjerenstva)
Committee memberJosipa Šćurla (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2023-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Kvantno strojno učenje još je slabo istraženo područje. U ovom radu nastojimo dati uvid u dijelić tog fascinatnog područja, kojeg zovemo kvantne neuronske mreže. Započinjemo rad uvodeći osnovne pojmove i teoriju potrebnu za razumijevanje obrađenih algoritama. Dajemo kratak teorijski opis principa rada klasičnog višeslojnog perceptrona te teorijski uvodimo njegov kvantni analogon, disipativne kvantne neuronske mreže. Uvodimo i model hibridne klasično-kvantne neuronske mreže te njenu implementaciju u Qiskit-u. Istražujemo mogućnosti takve arhitekture i diskutiramo dobivene rezultate.
Abstract (english)
Quantum machine learning is still quite a bit of a mistery. In this paper we will try to introduce a tiny bit of that fascinating area, called quantum neural networks. We begin by introducing basic concepts and theory neccessary for understanding the analyzed algorithms. We will briefly discuss the theoretical description of the priciples of classical multi-layer perceptron and its quantum analogue, dissipative quantum neural network, DKNN. We will also introduce a hybrid quantum-classical neural network and its implementation in Qiskit. We will explore the possibilities they provide us with and discuss the results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:040570
Study programmeTitle: Physics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-18 12:49:30