3 citations · 4 across the 7 of their papers we have counts for
4 papers · 2 filters
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…
Improved Quantum Lattice Boltzmann Method for Advection-Diffusion Equations with a Linear Collision Model
Li Xu, Ming Li, Lei Zhang +2
Quantum computing has made tremendous progress in recent years, providing potentialities for breaking the bottleneck of computing power in the field of scientific computing, like c…
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…