Hsieh, Chung Yun (Date of defense: 2022-10-10)
(English) As one of our most successful theories, quantum theory has greatly strengthened our understanding of nature and significantly advanced technologies. Specifically, quantum effects provide ...
Guijarro Gamez, Grecia (Date of defense: 2020-12-21)
In this Thesis, we report a detailed study of the ground-state properties of a set of quantum few- and many-body systems by using Quantum Monte Carlo methods. First, we introduced the Variational Monte ...
Dawid Lekowska, Anna Maria (Date of defense: 2022-09-20)
(English) Quantum many-body physics poses a substantial computational challenge resulting from the exponential growth of the wave function complexity and many non-trivial correlations encoded in it. ...
Casamor Vidal, Max (Date of defense: 2022-10-11)
The combined use of thermal-hydraulics system with sub-channel codes (TH-TH coupling) in transient analysis provides an integrated tool with the capability of modelling in detail both the core ...
Álvarez Farré, Xavier (Date of defense: 2022-09-05)
(English) Continuous enhancement in hardware technologies enables scientific computing to advance incessantly and reach further aims. Since the start of the global race for exascale high-performance ...
Cikojević, Viktor (Date of defense: 2021-04-20)
The properties of mixtures of Bose-Einstein condensates at T=0 have been investigated using quantum Monte Carlo (QMC) methods and Density Functional Theory (DFT) with the aim of understanding physics ...
Sánchez Baena, Juan (Date of defense: 2020-12-14)
The main goal of this thesis is the computation of ground state properties of quantum many-body systems under Spin Orbit coupling (SOC) interactions out of the ultradilute regime. We present two approaches ...
Kottmann, Korbinian Gebhard (Date of defense: 2022-10-14)
(English) We perform quantum simulation on classical and quantum computers and set up a machine learning framework in which we can map out phase diagrams of known and unknown quantum many-body systems ...
Muela Castro, Jordi (Date of defense: 2018-04-11)
The present thesis is devoted to the development and implementation of mathematical models and numerical methods in order to carry out computational simulations of complex heat and mass transfer phenomena. ...
Amil Marletti, Pablo (Date of defense: 2020-02-11)
This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order ...