Key points are not available for this paper at this time.
The learnability of quantum neural network, which includes its convergence behavior in optimization and the ability to efficiently learn classes of computationally hard concepts is investigated, providing theoretical guidance for developing advanced protocols in the NISQ era.
Du et al. (Wed,) studied this question.