84 citations · 505 across the 18 of their papers we have counts for
18 papers
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…
Experimental implementation of quantum algorithm for association rules mining
Chao-Hua Yu
Recently, a quantum algorithm for a fundamentally important task in data mining, association rules mining (ARM), called qARM for short, has been proposed. Notably, qARM achieves si…
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 Gaussian process regression
Menghan Chen, Gongde Guo, Song Lin +1
In this paper, a quantum algorithm based on gaussian process regression model is proposed. The proposed quantum algorithm consists of three sub-algorithms. One is the first quantum…
Quantum Algorithms for Prediction Based on Ridge Regression
Menghan Chen, Chaohua Yu, Gongde Guo +1
We propose a quantum algorithm based on ridge regression model, which get the optimal fitting parameters w and a regularization hyperparameter α by analysing the training dataset.…
Bayesian machine learning for Boltzmann machine in quantum-enhanced feature spaces
Yusen Wu, Chao-hua Yu, Sujuan Qin +2
Bayesian learning is ubiquitous for implementing classification and regression tasks, however, it is accompanied by computationally intractable limitations when the feature spaces…
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…
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…
Quantum Conditional Random Field
Yusen Wu, Chao-Hua Yu, Binbin Cai +3
Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinform…
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…
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…
Quantum algorithm for association rules mining
Chao-Hua Yu, Fei Gao, Qing-Le Wang +1
Association rules mining (ARM) is one of the most important problems in knowledge discovery and data mining. Given a transaction database that has a large number of transactions an…
Quantum algorithm for association rules mining
Chao-Hua Yu, Fei Gao, Qing-Le Wang +1
Association rules mining is one of the most important problems in knowledge discovery and data mining. The goal of it is to acquire consumption habits of customers by discovering t…