2 citations · 3 across the 7 of their papers we have counts for
7 papers
UNIQ: Communication-Efficient Distributed Quantum Computing via Unified Nonlinear Integer Programming
Hui Zhong, Jiachen Shen, Lei Fan +4
Distributed quantum computing (DQC) is widely regarded as a promising approach to overcome quantum hardware limitations. A major challenge in DQC lies in reducing the communication…
Differential Privacy Preserving Distributed Quantum Computing
Hui Zhong, Keyi Ju, Jiachen Shen +5
Existing quantum computers can only operate with hundreds of qubits in the Noisy Intermediate-Scale Quantum (NISQ) state, while quantum distributed computing (QDC) is regarded as a…
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
Jiaxiang Geng, Boyu Li, Xiaoqi Qin +4
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping…
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy
Yusheng Zhao, Hui Zhong, Xinyue Zhang +3
While quantum computing has strong potential in data-driven fields, the privacy issue of sensitive or valuable information involved in the quantum algorithm should be considered. D…
Tuning Quantum Computing Privacy through Quantum Error Correction
Hui Zhong, Keyi Ju, Manojna Sistla +4
Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. To protect quantum computing privacy, pioneering research efforts proposed to…
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Keyi Ju, Xiaoqi Qin, Hui Zhong +3
Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process. However, da…
Differential Privacy Preserving Quantum Computing via Projection Operator Measurements
Yuqing Li, Yusheng Zhao, Xinyue Zhang +3
Quantum computing has been widely applied in various fields, such as quantum physics simulations, quantum machine learning, and big data analysis. However, in the domains of data-d…