3 citations · 4 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-ph2023★ 1 cited
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao-kai Zhang, Chenghong Zhu, Mingrui Jing +1
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantu…
quant-ph2023★ 3 cited
Ground state preparation with shallow variational warm-start
Youle Wang, Chenghong Zhu, Mingrui Jing +1
Preparing the ground states of a many-body system is essential for evaluating physical quantities and determining the properties of materials. This work provides a quantum ground s…