Variational quantum algorithms for machine learning: theory and applications

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This Ph.D.

• thesis provides a comprehensive review of the state-of-the-art in the field of Variational Quantum Algorithms and Quantum Machine Learning, including numerous original contributions.
• The first chapters are devoted to a brief summary of quantum computing and an in-depth analysis of variational quantum algorithms.
• The discussion then shifts to quantum machine learning, where an introduction to the elements of machine learning and statistical learning theory is followed by a review of the most common quantum counterparts of machine learning models.