Quantum Machine Learning, Maria Schuld, Francesco Petruccione, 2018 (Springer)DOI: 10.1007/978-3-319-96424-9 - This book provides a foundational introduction to quantum machine learning, including variational quantum algorithms and quantum neural networks.
Variational quantum algorithms, Marco Cerezo, Andrew Thomas Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles, 2021Nature Reviews Physics, Vol. 3 (Springer Nature)DOI: 10.1038/s42254-021-00348-9 - This review covers variational quantum algorithms, including aspects of their training, optimization, and associated challenges like barren plateaus, directly relevant to QCNNs.