Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms

Skolik, A. (2023)

Doctoral Thesis

This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.

• Quantum computing
• Variational quantum algorithms
• Quantum neural networks

• All authors: Skolik, A.
• Supervisor: Dunjko, V.; Bäck, T.H.W.
• Committee: Batenburg, K.J.; Plaat, A.; Macchiavello, C.; Hartmann, M.J.; Feld, S.
• Qualification: Doctor (dr.)
• Awarding Institution: Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University
• Date: 2023-12-07