130 citations · 269 across the 15 of their papers we have counts for
15 papers
Variational quantum algorithm-preserving feasible space for solving the uncapacitated facility location problem
Sha-Sha Wang, Hai-Ling Liu, Yong-Mei Li +3
The Quantum Alternating Operator Ansatz (QAOA+) is one of the Variational Quantum Algorithm (VQA) specifically developed to tackle combinatorial optimization problems by exploring…
Non-Markovian Dynamics of Time-Fractional Open Quantum Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
Applications of Time-Fractional Schrodinger Equations (TFSEs) to quantum processes are instructive for understanding and describing the time behavior of real physical systems. By a…
A general quantum matrix exponential dimensionality reduction framework based on block-encoding
Yong-Mei Li, Hai-Ling Liu, Shi-Jie Pan +3
As a general framework, Matrix Exponential Dimensionality Reduction (MEDR) deals with the small-sample-size problem that appears in linear Dimensionality Reduction (DR) algorithms.…
Multilevel leapfrogging initialization for quantum approximate optimization algorithm
Xiao-Hui Ni, Bin-Bin Cai, Hai-Ling Liu +3
Recently, Zhou et al. have proposed a novel Interpolation-based (INTERP) strategy to generate the initial parameters for the Parameterized Quantum Circuit (PQC) in Quantum Approxim…
Quantum Speed Limit for Time-Fractional Open Systems
Dongmei Wei, Hailing Liu, Yongmei Li +3
The Time-Fractional Schrödinger Equation (TFSE) is well-adjusted to study a quantum system interacting with its dissipative environment. The Quantum Speed Limit (QSL) time captures…
Quantum Alternating Operator Ansatz for Solving the Minimum Exact Cover Problem
Sha-Sha Wang, Hai-Ling Liu, Su-Juan Qin +2
The Quantum Alternating Operator Ansatz (QAOA+) is an extension of the Quantum Approximate Optimization Algorithm (QAOA), where the search space is smaller in solving constrained c…
Quantum Algorithm for Anomaly Detection of Sequences
Ming-Chao Guo, Hai-Ling Liu, Shi-Jie Pan +5
Anomaly detection of sequences is a hot topic in data mining. Anomaly Detection using Piecewise Aggregate approximation in the Amplitude Domain (called ADPAAD) is one of the widely…
Quantum mean centering for block-encoding-based quantum algorithm
Hai-Ling Liu, Chao-Hua Yu, Lin-Chun Wan +3
Mean Centering (MC) is an important data preprocessing technique, which has a wide range of applications in data mining, machine learning, and multivariate statistical analysis. Wh…
Quantum discriminative canonical correlation analysis
Yong-Mei Li, Hai-Ling Liu, Shi-Jie Pan +3
Discriminative Canonical Correlation Analysis (DCCA) is a powerful supervised feature extraction technique for two sets of multivariate data, which has wide applications in pattern…
A quantum algorithm for solving eigenproblem of the Laplacian matrix of a fully connected weighted graph
Hai-Ling Liu, Su-Juan Qin, Lin-Chun Wan +4
Solving eigenproblem of the Laplacian matrix of a fully connected weighted graph has wide applications in data science, machine learning, and image processing, etc. However, this i…
Quantum algorithm for Neighborhood Preserving Embedding
Shi-Jie Pan, Lin-Chun Wan, Hai-Ling Liu +4
Neighborhood Preserving Embedding (NPE) is an important linear dimensionality reduction technique that aims at preserving the local manifold structure. NPE contains three steps, i.…
Quantum algorithms for anomaly detection using amplitude estimation
Ming-Chao Guo, Hai-Ling Liu, Yong-Mei Li +4
Anomaly detection plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc. Anomaly detection algorithm based on density estimation (c…
Variational Quantum algorithm for Poisson equation
Hailing Liu, Yusen Wu, Linchun Wan +4
The Poisson equation has wide applications in many areas of science and engineering. Although there are some quantum algorithms that can efficiently solve the Poisson equation, the…
Improved quantum algorithm for A-optimal projection
Shi-Jie Pan, Lin-Chun Wan, Hai-Ling Liu +4
Dimensionality reduction (DR) algorithms, which reduce the dimensionality of a given data set while preserving the information of the original data set as well as possible, play an…
Quantum algorithm for logistic regression
Hai-Ling Liu, Chao-Hua Yu, Yu-Sen Wu +4
Logistic regression (LR) is an important machine learning model for classification, with wide applications in text classification, image analysis and medicine diagnosis, etc. Howev…