1.1k citations · 1.1k across the 5 of their papers we have counts for
5 papers
Convergence Analysis of Generalized ADMM with Majorization for Linearly Constrained Composite Convex Optimization
Hongwu Li, Haibin Zhang, Yunhai Xiao
The generalized alternating direction method of multipliers (ADMM) of Xiao et al. [{\tt Math. Prog. Comput., 2018}] aims at the two-block linearly constrained composite convex prog…
Efficient Dual ADMMs for Sparse Compressive Sensing MRI Reconstruction
Yanyun Ding, Peili Li, Yunhai Xiao +1
Magnetic Resonance Imaging (MRI) is a kind of medical imaging technology used for diagnostic imaging of diseases, but its image quality may be suffered by the long acquisition time…
An Efficient Semismooth Newton Method for Adaptive Sparse Signal Recovery Problems
Yanyun Ding, Haibin Zhang, Peili Li +1
We know that compressive sensing can establish stable sparse recovery results from highly undersampled data under a restricted isometry property condition. In reality, however, num…
Quantum Computational Advantage via 60-Qubit 24-Cycle Random Circuit Sampling
Qingling Zhu, Sirui Cao, Fusheng Chen +50
To ensure a long-term quantum computational advantage, the quantum hardware should be upgraded to withstand the competition of continuously improved classical algorithms and hardwa…
Strong quantum computational advantage using a superconducting quantum processor
Yulin Wu, Wan-Su Bao, Sirui Cao +51
Scaling up to a large number of qubits with high-precision control is essential in the demonstrations of quantum computational advantage to exponentially outpace the classical hard…