5 citations · 5 across the 1 of their papers we have counts for
3 papers
quant-ph2019★ 5 cited
Quantum Speedup in Adaptive Boosting of Binary Classification
Ximing Wang, Yuechi Ma, Min-Hsiu Hsieh +1
In classical machine learning, a set of weak classifiers can be adaptively combined to form a strong classifier for improving the overall performance, a technique called adaptive b…
quant-ph2018
Experimental Simultaneous Learning of Multiple Non-Classical Correlations
Mu Yang, Chang-liang Ren, Yue-chi Ma +7
Non-classical correlations can be regarded as resources for quantum information processing. However, the classification problem of non-classical correlations for quantum states rem…
quant-ph2017
Transforming Bell's Inequalities into State Classifiers with Machine Learning
Yue-Chi Ma, Man-Hong Yung
Quantum information science has profoundly changed the ways we understand, store, and process information. A major challenge in this field is to look for an efficient means for cla…