217 citations · 360 across the 8 of their papers we have counts for
16 papers
Privacy-Utility Trade-Off
Hao Zhong, Kaifeng Bu
In this paper, we investigate the privacy-utility trade-off (PUT) problem, which considers the minimal privacy loss at a fixed expense of utility. Several different kinds of privac…
Quantifying scrambling in quantum neural networks
Roy J. Garcia, Kaifeng Bu, Arthur Jaffe
We characterize a quantum neural network's error in terms of the network's scrambling properties via the out-of-time-ordered correlator. A network can be trained by optimizing eith…
Rademacher complexity of noisy quantum circuits
Kaifeng Bu, Dax Enshan Koh, Lu Li +2
Noise in quantum systems is a major obstacle to implementing many quantum algorithms on large quantum circuits. In this work, we study the effects of noise on the Rademacher comple…
Depth-Width Trade-offs for Neural Networks via Topological Entropy
Kaifeng Bu, Yaobo Zhang, Qingxian Luo
One of the central problems in the study of deep learning theory is to understand how the structure properties, such as depth, width and the number of nodes, affect the expressivit…
Benchmarking one-shot distillation in general quantum resource theories
Bartosz Regula, Kaifeng Bu, Ryuji Takagi +1
We study the one-shot distillation of general quantum resources, providing a unified quantitative description of the maximal fidelity achievable in this task, and revealing similar…
One-Shot Operational Quantum Resource Theory
Zi-Wen Liu, Kaifeng Bu, Ryuji Takagi
A fundamental approach for the characterization and quantification of all kinds of resources is to study the conversion between different resource objects under certain constraints…