1 code implementation • NeurIPS 2023 • Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang
As a quantum analog of probability distribution learning, quantum state learning is theoretically and practically essential in quantum machine learning.
no code implementations • 26 May 2022 • Xia Liu, Geng Liu, Jiaxin Huang, Hao-Kai Zhang, Xin Wang
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers.
no code implementations • 10 May 2022 • Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests.