56 citations · 349 across the 25 of their papers we have counts for
25 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…
A Family of Bipartite Separability Criteria Based on Bloch Representation of Density Matrices
Xue-Na Zhu, Jing Wang, Gui Bao +3
We study the separability of bipartite quantum systems in arbitrary dimensions based on the Bloch representation of density matrices. We present two separability criteria for quant…
Improved iterative quantum algorithm for ground-state preparation
Jin-Min Liang, Qiao-Qiao Lv, Shu-Qian Shen +3
Finding the ground state of a Hamiltonian system is of great significance in many-body quantum physics and quantum chemistry. We propose an improved iterative quantum algorithm to…
Quantum relaxed row and column iteration methods based on block-encoding
Xiao-Qi Liu, Jing Wang, Ming Li +3
Iteration method is commonly used in solving linear systems of equations. We present quantum algorithms for the relaxed row and column iteration methods by constructing unitary mat…
Quantum algorithms for the generalized eigenvalue problem
Jin-Min Liang, Shu-Qian Shen, Ming Li +1
The generalized eigenvalue (GE) problems are of particular importance in various areas of science engineering and machine learning. We present a variational quantum algorithm for f…
Tight upper bound on the quantum value of Svetlichny operators under local filtering and hidden genuine nonlocality
Lingyun Sun, Li Xu, Jing Wang +4
Nonlocal quantum correlations among the quantum subsystems play essential roles in quantum science. The violation of the Svetlichny inequality provides sufficient conditions of gen…
The reduction of the number of incoherent Kraus operations for qutrit systems
Jiahuan Qiao, Lingyun Sun, Jing Wang +4
Quantum coherence is a fundamental property that can emerge within any quantum system. Incoherent operations, defined in terms of the Kraus decomposition, take an important role in…
Characterizing multipartite entanglement by violation of CHSH inequalities
Ming Li, Huihui Qin, Chengjie Zhang +3
Entanglement of high-dimensional and multipartite quantum systems offer promising perspectives in quantum information processing. However, the characterization and measure of such…
Nonlinear Improvement of Qubit-qudit Entanglement Witnesses
Shu-Qian Shen, Jin-Min Liang, Ming Li +2
The entanglement witness is an important and experimentally applicable tool for entanglement detection. In this paper, we provide a nonlinear improvement of any entanglement witnes…
Variational Quantum Algorithms for Dimensionality Reduction and Classification
Jin-Min Liang, Shu-Qian Shen, Ming Li +1
In this work, we present a quantum neighborhood preserving embedding and a quantum local discriminant embedding for dimensionality reduction and classification. We demonstrate that…
Quantum Anomaly Detection with Density Estimation and Multivariate Gaussian Distribution
Jin-Ming Liang, Shu-Qian Shen, Ming Li +1
We study quantum anomaly detection with density estimation and multivariate Gaussian distribution. Both algorithms are constructed using the standard gate-based model of quantum co…
The norms of Bloch vectors and classification of four qudits quantum states
Ming Li, Zong Wang, Jing Wang +2
We investigate the norms of the Bloch vectors for any quantum state with subsystems less than or equal to four. Tight upper bounds of the norms are obtained, which can be used to d…
Optimization of ultrafine entanglement witnesses
Shu-Qian Shen, Ti-Run Xu, Shao-Ming Fei +2
The ultrafine entanglement witness, introduced in [F. Shahandeh, M. Ringbauer, J.C. Loredo, and T.C. Ralph, Phys. Rev. Lett. \textbf{118}, 110502 (2017)], can seamlessly and easily…
Improved separability criteria via some classes of measurements
Shu-Qian Shen, Ming Li, Xianqing Li-Jost +1
The entanglement detection via local measurements can be experimentally implemented. Based on mutually unbiased measurements and general symmetric informationally complete positive…
Detection and measure of genuine tripartite entanglement with partial transposition and realignment of density matrices
Ming Li, Jing Wang, Shuqian Shen +2
It is challenging task to detect and measure genuine multipartite entanglement. We investigate the problem by considering the average based positive partial transposition(PPT) crit…
Measure and detection of genuine multipartite entanglement for tripartite systems
Ming Li, Lingxia Jia, Jing Wang +2
It is a computationally hard task to certify genuine multipartite entanglement (GME). We investigate the relation between the norms of the correlation vectors and the detection of…
Tight upper bound for the maximal quantum value of the Svetlichny operators
Ming Li, Shuqian Shen, Naihuan Jing +2
It is a challenging task to detect genuine multipartite nolocality (GMNL). In this paper, the problem is considered via computing the maximal quantum value of Svetlichny operators…
Maximum coherence in the optimal basis
Ming-Liang Hu, Shu-Qian Shen, Heng Fan
The resource theoretic measure of quantum coherence is basis dependent, and the amount of coherence contained in a state is different in different bases. We obtained analytical sol…
Improved Separability Criteria Based on Bloch Representation of Density Matrices
Shu-Qian Shen, Juan Yu, Ming Li +1
The correlation matrices or tensors in the Bloch representation of density matrices are encoded with entanglement properties. In this paper, based on the Bloch representation of de…
Separability criteria based on the realignment of density matrices and reduced density matrices
Shu-Qian Shen, Meng-Yuan Wang, Ming Li +1
By combining a parameterized Hermitian matrix, the realignment matrix of the bipartite density matrix and the vectorization of its reduced density matrices, we present a family…
A bipartite separable ball and its applications
Shu-Qian Shen, Ming Li, Lei Li
In this paper, based on a matrix norm, we first present a ball of separable unnormalized states around the identity matrix for the bipartite quantum system, which is larger than th…