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.
Building similarity graph...
Analyzing shared references across papers
Loading...
Yuxuan Du
Beijing Information Science & Technology University
Min-Hsiu Hsieh
De Lin Institute of Technology
Tongliang Liu
The University of Sydney
PRX Quantum
The University of Sydney
Group Sense (China)
Quanta Computer (Taiwan)
Building similarity graph...
Analyzing shared references across papers
Loading...
Du et al. (Wed,) studied this question.
synapsesocial.com/papers/6a10fd92975881a5546465f9 — DOI: https://doi.org/10.1103/prxquantum.2.040337