130 citations · 154 across the 6 of their papers we have counts for
6 papers
Quantum Algorithm for Unsupervised Anomaly Detection
MingChao Guo, ShiJie Pan, WenMin Li +5
Anomaly detection, an important branch of machine learning, plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc. As one of the mo…
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…
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…
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…