130 citations · 270 across the 10 of their papers we have counts for
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Quantum algorithm for Markov Random Fields structure learning by information theoretic properties
Liming Zhao, Lin-chun Wan, Ming-Xing Luo
Probabilistic graphical models play a crucial role in machine learning and have wide applications in various fields. One pivotal subset is undirected graphical models, also known a…
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…
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…