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Parameterized quantum circuits for machine learning

Code, data and analysis scripts for my master thesis: Parameterized quantum circuits for machine learning.

Overview

The aim of this thesis is to study parameterized quantum circuits used as machine learning models, optimized using gradient-based methods.

Structure

The latex folder contains the LaTeX source for building the thesis, as well as figures and tables generated in the analyses.

The notebooks folder contains Jupyter notebooks used for generating numerical data and analysis. A collection of notebooks containing preliminary models is also present.

The notes folder contains notes on relevant scientific articles and reflections on the results produced in this project.

The results folder contains pickled models in data, and generated plots in figures.

The src folder contains the source code. For details, see src readme.

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Parameterized quantum circuits for machine learning

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