16 citations · 61 across the 7 of their papers we have counts for
Showing 2020Show all
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quant-ph2020★ 5 cited
VSQL: Variational Shadow Quantum Learning for Classification
Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies. In this paper, we propose a new hybrid quantum-classical framework for…
cs.LG2020
Block-term Tensor Neural Networks
Jinmian Ye, Guangxi Li, Di Chen +3
Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e.g., image classification, natural language processing, etc. Despite the good pe…
quant-ph2020★ 16 cited
Variational quantum Gibbs state preparation with a truncated Taylor series
Youle Wang, Guangxi Li, Xin Wang
The preparation of quantum Gibbs state is an essential part of quantum computation and has wide-ranging applications in various areas, including quantum simulation, quantum optimiz…