4 papers
Quantum Classifiers with Trainable Kernel
Li Xu, Xiao-yu Zhang, Ming Li +1
Kernel function plays a crucial role in machine learning algorithms such as classifiers. In this paper, we aim to improve the classification performance and reduce the reading out…
Variational quantum algorithm for the Poisson equation based on the banded Toeplitz systems
Xiaoqi Liu, Yuedi Qu, Ming Li +1
For solving the Poisson equation it is usually possible to discretize it into solving the corresponding linear system .Variational quantum algorithms (VQAs) for the discreted…
A note on the lower bounds of genuine multipartite entanglement concurrence
Ming Li, Yaru Dong, Ruiqi Zhang +4
Quantum entanglement plays a pivotal role in quantum information processing. Quantifying quantum entanglement is a challenging and essential research area within the field. This ma…
Tight upper bound and monogamy relation for the maximum quantum value of the parity-CHSH inequality and applied to device-independent randomness
Guannan Zhang, Jiamin Xu, Ming Li +3
Based on the violation of Bell inequalities, we can verify quantum random numbers by examining the correlation between device inputs and outputs. In this paper, we derive the maxim…