363 citations · 2.5k across the 54 of their papers we have counts for
54 papers · 1 filter
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…
Efficient and secure quantum network coding based on quantum full homomorphic encryption
Ning Wang, Fei Gao, Song Lin
Based on -dimensional quantum full homomorphic encryption, an efficient and secure quantum network coding protocol is proposed in this paper. First, a quantum full homomorphic e…
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 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…
Certification of three black boxes with unsharp measurements using sequential quantum random access codes
Shihui Wei, Fenzhuo Guo, Fei Gao +1
Unsharp measurements play an increasingly important role in quantum information theory. In this paper, we study a three-party prepare-transform-measure experiment with unsharp meas…
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 restricted Boltzmann machine universal for quantum computation
Yusen Wu, Chunyan Wei, Sujuan Qin +2
The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the many-body wave functions wit…
Block-encoding based quantum algorithm for linear systems with displacement structures
Lin-Chun Wan, Chao-Hua Yu, Shi-Jie Pan +3
Matrices with the displacement structures of circulant, Toeplitz, and Hankel types as well as matrices with structures generalizing these types are omnipresent in computations of s…
Side information -driven quantum composite control for protecting a qubit
Ya Cao, Fei Gao, DanDan Li +1
We study protection of a qubit that transfer through a decoherence noise by quantum control technique. In this work, we assume that the communication participants have some side in…
Quantum data compression by principal component analysis
Chao-Hua Yu, Fei Gao, Song Lin +1
Data compression can be achieved by reducing the dimensionality of high-dimensional but approximately low-rank datasets, which may in fact be described by the variation of a much s…
Quantum algorithm for visual tracking
Chao-Hua Yu, Fei Gao, Chenghuan Liu +3
Visual tracking (VT) is the process of locating a moving object of interest in a video. It is a fundamental problem in computer vision, with various applications in human-computer…
Many-box locality
Yuqian Zhou, Yu Cai, Jean-Daniel Bancal +2
There is an ongoing search for a physical or operational definition for quantum mechanics. Several informational principles have been proposed which are satisfied by a theory less…
An improved quantum algorithm for ridge regression
Chao-Hua Yu, Fei Gao, Qiao-Yan Wen
Ridge regression (RR) is an important machine learning technique which introduces a regularization hyperparameter to ordinary multiple linear regression for analyzing data suff…
Relating quantum coherence and correlations with entropy-based measures
Xiao-Li Wang, Qiu-Ling Yue, Chao-Hua Yu +2
Quantum coherence as an important quantum resource plays a key role in quantum theory. In this paper, using entropy-based measures, we investigate the relations between quantum cor…
Asymptotic Quantum Algorithm for the Toeplitz Systems
Lin-Chun Wan, Chao-Hua Yu, Shi-Jie Pan +3
Solving the Toeplitz systems, which is to find the vector such that given an Toeplitz matrix and a vector , has a variety of applications in mat…
Self-tallying Quantum Anonymous Voting
Qingle Wang, Chaohua Yu, Fei Gao +2
Anonymous voting is a voting method of hiding the link between a vote and a voter, the context of which ranges from governmental elections to decision making in small groups like c…
Coherence of Superpositions
Qiu-Ling Yue, Chao-Hua Yu, Feng Liu +3
Quantum coherence is important in quantum mechanics, and its essence is from superposition principle. We study the coherence of any two pure states and that of their arbitrary supe…
Creating cat states in one-dimensional quantum walks using delocalized initial states
Wei-Wei Zhang, Sandeep K. Goyal, Fei Gao +2
Cat states are coherent quantum superpositions of macroscopically distinct states and are useful for understanding the boundary between the classical and the quantum world. Due to…