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tfg_urgell_olle_nuria.pdf (1.4 MB)

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Bachelor thesis

Publication date

2023-01

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cc-by-nc-nd (c) Núria Urgell Ollé, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/199220

A mathematical framework for quantum neural networks

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Abstract

[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.

Description

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Bruno Juliá-Díaz

Subject

Computació evolutiva, Treballs de fi de grau, Ordinadors quàntics, Xarxes neuronals (Informàtica), Aprenentatge automàtic

Subject (English)

Evolutionary computation, Bachelor's theses, Quantum computers, Neural networks (Computer science), Machine learning

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

URGELL OLLÉ, Núria. A mathematical framework for quantum neural networks. [consulted: 7 of August of 2026]. Available at: https://hdl.handle.net/2445/199220

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