Expressive power of parametrized quantum circuits 论文

摘要

The authors demonstrate that parametrized quantum circuits possess a better expressive power than classical neural networks, such as restricted and deep Boltzmann machines. Based on the advanced expressive power, the authors propose a Bayesian quantum circuit that enables parametrized quantum circuits to perform machine learning tasks