Power of data in quantum machine learning, Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, and Jarrod R. McClean, 2021Nature Communications, Vol. 12 (Nature Portfolio)DOI: 10.1038/s41467-021-22539-9 - This work analyzes the expressibility and generalization capabilities of quantum machine learning models, touching upon the limitations imposed by high-dimensional quantum feature spaces leading to concentration effects.