133 citations · 197 across the 5 of their papers we have counts for
5 papers
Realizing a quantum generative adversarial network using a programmable superconducting processor
Kaixuan Huang, Zheng-An Wang, Chao Song +11
Generative adversarial networks are an emerging technique with wide applications in machine learning, which have achieved dramatic success in a number of challenging tasks includin…
Observation of Two-Vertex Four-Dimensional Spin Foam Amplitudes with a 10-qubit Superconducting Quantum Processor
Pengfei Zhang, Zichang Huang, Chao Song +8
Quantum computers are an increasingly hopeful means for understanding large quantum many-body systems bearing high computational complexity. Such systems exhibit complex evolutions…
Scalable evaluation of quantum-circuit error loss using Clifford sampling
Zhen Wang, Yanzhu Chen, Zixuan Song +6
A major challenge in developing quantum computing technologies is to accomplish high precision tasks by utilizing multiplex optimization approaches, on both the physical system and…
Observation of energy resolved many-body localization
Qiujiang Guo, Chen Cheng, Zheng-Hang Sun +10
Many-body localization (MBL) describes a quantum phase where an isolated interacting system subject to sufficient disorder displays non-ergodic behavior, evading thermal equilibriu…
Variable selection with false discovery rate control in deep neural networks
Zixuan Song, Jun Li
Deep neural networks (DNNs) are famous for their high prediction accuracy, but they are also known for their black-box nature and poor interpretability. We consider the problem of…