3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Quantum Recurrent Embedding Neural Network
Mingrui Jing, Erdong Huang, Xiao Shi +2
Quantum neural networks have emerged as promising quantum machine learning models, leveraging the properties of quantum systems and classical optimization to solve complex problems…
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…
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…
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…