194 citations · 1.6k across the 44 of their papers we have counts for
44 papers
Achieving quantum advantages for image filtering
Zidong Cui, Shan Jin, Akira Sone +1
Image processing is a fascinating field for exploring quantum algorithms. However, achieving quantum speedups turns out to be a significant challenge. In this work, we focus on ima…
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…
Quantum State Tomography Inspired by Language Modeling
Lu Zhong, Chu Guo, Xiaoting Wang
Quantum state tomography is an elementary tool to fully characterize an unknown quantum state. As the quantum hardware scales up in size, the standard quantum state tomography beco…
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…
Density matrix reconstruction using non-negative matrix product states
Donghong Han, Chu Guo, Xiaoting Wang
Quantum state tomography is a key technique for quantum information processing, but is challenging due to the exponential growth of its complexity with the system size. In this wor…