86 citations · 105 across the 10 of their papers we have counts for
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quant-ph2021★ 2 cited
Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du, Yang Qian, Dacheng Tao
Variational quantum algorithms (VQAs) have the potential of utilizing near-term quantum machines to gain certain computational advantages over classical methods. Nevertheless, mode…
quant-ph2021★ 8 cited
The dilemma of quantum neural networks
Yang Qian, Xinbiao Wang, Yuxuan Du +2
The core of quantum machine learning is to devise quantum models with good trainability and low generalization error bound than their classical counterparts to ensure better reliab…
quant-ph2021★ 86 cited
Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC
Sau Lan Wu, Shaojun Sun, Wen Guan +20
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In…