49 citations · 85 across the 4 of their papers we have counts for
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Fixed-point quantum continuous search algorithm with optimal query complexity
Shan Jin, Yuhan Huang, Shaojun Wu +4
Continuous search problems (CSPs), which involve finding solutions within a continuous domain, frequently arise in fields such as optimization, physics, and engineering. Unlike dis…
Ensemble-learning error mitigation for variational quantum shallow-circuit classifiers
Qingyu Li, Yuhan Huang, Xiaokai Hou +3
Classification is one of the main applications of supervised learning. Recent advancement in developing quantum computers has opened a new possibility for machine learning on such…
Quantum spectral clustering algorithm for unsupervised learning
Qingyu Li, Yuhan Huang, Shan Jin +2
Clustering is one of the most crucial problems in unsupervised learning, and the well-known -means clustering algorithm has been shown to be implementable on a quantum computer…
Robust resource-efficient quantum variational ansatz through evolutionary algorithm
Yuhan Huang, Qingyu Li, Xiaokai Hou +4
Variational quantum algorithms (VQAs) are promising methods to demonstrate quantum advantage on near-term devices as the required resources are divided between a quantum simulator…