49 citations · 107 across the 7 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
quant-ph2022★ 21 cited
A duplication-free quantum neural network for universal approximation
Xiaokai Hou, Guanyu Zhou, Qingyu Li +2
The universality of a quantum neural network refers to its ability to approximate arbitrary functions and is a theoretical guarantee for its effectiveness. A non-universal neural n…
quant-ph2022★ 16 cited
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…
quant-ph2022★ 49 cited
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…