49 citations · 107 across the 7 of their papers we have counts for
8 papers
Feedback-based quantum optimization with low depth and measurement
Zi-Wen Huang, Jia-Cheng Fan, Xiao-Hui Ni +5
Feedback-based ALgorithm for Quantum OptimizatioN (FALQON) is a hybrid quantum-classical algorithm for solving combinatorial optimization problems, which circumvents classical para…
An effcient variational quantum Korkin-Zolotarev algorithm for solving shortest vector problems
Xiaokai Hou, Guoqing Zhou, Shan Jin +5
Noisy intermediate-scale quantum cryptanalysis focuses on the capability of near-term quantum devices to solve the mathematical problems underlying cryptography, and serves as a co…
A sequentially generated variational quantum circuit with polynomial complexity
Xiaokai Hou, Qingyu Li, Man-Hong Yung +4
Variational quantum algorithms have been a promising candidate to utilize near-term quantum devices to solve real-world problems. The powerfulness of variational quantum algorithms…
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…
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…
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…
A universal duplication-free quantum neural network
Xiaokai Hou, Guanyu Zhou, Qingyu Li +2
Universality of neural networks describes the ability to approximate arbitrary function, and is a key ingredient to keep the method effective. The established models for universal…