78 citations · 371 across the 38 of their papers we have counts for
5 papers · 2 filters
Learning quantum properties from short-range correlations using multi-task networks
Ya-Dong Wu, Yan Zhu, Yuexuan Wang +1
Characterizing multipartite quantum systems is crucial for quantum computing and many-body physics. The problem, however, becomes challenging when the system size is large and the…
Quantum Process Learning Through Neural Emulation
Yan Zhu, Ya-Dong Wu, Qiushi Liu +2
Neural networks are a promising tool for characterizing intermediate-scale quantum devices from limited amounts of measurement data. A challenging problem in this area is to learn…
Randomness-enhanced expressivity of quantum neural networks
Yadong Wu, Juan Yao, Pengfei Zhang +1
As a hybrid of artificial intelligence and quantum computing, quantum neural networks (QNNs) have gained significant attention as a promising application on near-term, noisy interm…
Efficient Learning of Continuous-Variable Quantum States
Ya-Dong Wu, Yan Zhu, Giulio Chiribella +1
The characterization of continuous-variable quantum states is crucial for applications in quantum communication, sensing, simulation and computing. However, a full characterization…
The Sub-Exponential Critical Slowing Down at Floquet Time Crystal Phase Transition
Wenqian Zhang, Yadong Wu, Xingze Qiu +2
Critical slowing down (CSD) has been a trademark of critical dynamics for equilibrium phase transitions of a many-body system, where the relaxation time for the system to reach the…