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Computación cuántica
Aprendizaje automático
Aprendizaje automático cuántico
Clustering cuántico
Modelo cinético cuántico de Ising
Quantum algorithms
Quantum computing
Machine learning
Quantum machine learning
Quantum clustering
Quantum kinetic Ising model
[ES] El objetivo del presente Trabajo Fin de Máster es explotar la idea de que los modelos cinéticos cuánticos modelan sistemas fuera de equilibrio con un sistema cuántico, para diseñar algoritmos cuántico capaces de resolver sistemas fuera de equilibrio complicados. El problema se puede vincular a una serie de problemas de aprendizaje automático. Por tanto, el TFM explorará su utilidad en el contexto del aprendizaje automático.
[EN] The aim of the present Master Thesis is to exploit the idea that quantum kinetic models model systems out of equilibrium with a quantum system, to use a quantum algorithm for solving complicated out of equilibrium systems. The problem can be linked to a number of machine learning problems. Therefore, the TFM will explore its utility in the context of machine learning.
Reserva de todos los derechos
Abierto
José Alberto Conejero Casares
Miguel Angel Garcia March
http://hdl.handle.net/10251/186053
Universitat Politècnica de València
Inglés
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