5 citations · 8 across the 2 of their papers we have counts for
3 papers
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-ph2019★ 3 cited
Quantum Data Fitting Algorithm for Non-sparse Matrices
Guangxi Li, Youle Wang, Yu Luo +1
We propose a quantum data fitting algorithm for non-sparse matrices, which is based on the Quantum Singular Value Estimation (QSVE) subroutine and a novel efficient method for reco…