15 citations · 19 across the 3 of their papers we have counts for
3 papers
quant-ph2023
Quantum sequential scattering model for quantum state learning
Mingrui Jing, Geng Liu, Hongbin Ren +1
Learning probability distribution is an essential framework in classical learning theory. As a counterpart, quantum state learning has spurred the exploration of quantum machine le…
quant-ph2022★ 15 cited
Mitigating barren plateaus of variational quantum eigensolvers
Xia Liu, Geng Liu, Jiaxin Huang +2
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers. However, recent works have pointed out that the performance of…
quant-ph2022★ 4 cited
Fundamental limitations on optimization in variational quantum algorithms
Hao-Kai Zhang, Chengkai Zhu, Geng Liu +1
Exploring quantum applications of near-term quantum devices is a rapidly growing field of quantum information science with both theoretical and practical interests. A leading parad…