363 citations · 1.2k across the 45 of their papers we have counts for
5 papers · 1 filter
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…
Self-testing of symmetric three-qubit states
Xinhui Li, Yukun Wang, Yunguang Han +2
Self-testing refers to a device-independent way to uniquely identify the state and the measurement for uncharacterized quantum devices. The only information required comprises the…
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…