1 code implementation • 17 Apr 2024 • Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert Mclaughlin, Jamie Craig, Minh-Son To
The oxygen saturation level in the blood (SaO2) is crucial for health, particularly in relation to sleep-related breathing disorders.
1 code implementation • 22 Jan 2023 • Maolin Wang, Yu Pan, Zenglin Xu, Xiangli Yang, Guangxi Li, Andrzej Cichocki
Interestingly, although these two types of networks originate from different observations, they are inherently linked through the common multilinearity structure underlying both TNs and NNs, thereby motivating a significant number of intellectual developments regarding combinations of TNs and NNs.
no code implementations • 16 Jun 2022 • Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
This result in particular implies that the average encoded state will concentrate on the maximally mixed state at an exponential speed on depth.
1 code implementation • 11 May 2022 • Guangxi Li, Xuanqiang Zhao, Xin Wang
An emerging direction of quantum computing is to establish meaningful quantum applications in various fields of artificial intelligence, including natural language processing (NLP).
no code implementations • 1 Mar 2021 • Youle Wang, Guangxi Li, Xin Wang
Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators.
1 code implementation • 15 Dec 2020 • Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies.
no code implementations • 10 Oct 2020 • Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e. g., image classification, natural language processing, etc.
1 code implementation • 18 May 2020 • Youle Wang, Guangxi Li, Xin Wang
By performing numerical experiments, we show that shallow parameterized circuits with only one additional qubit can be trained to prepare the Ising chain and spin chain Gibbs states with a fidelity higher than 95%.
no code implementations • 16 Jul 2019 • Guangxi Li, Youle Wang, Yu Luo, Yuan Feng
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 recovering the signs of eigenvalues.
no code implementations • 15 Dec 2017 • Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
Recently, deep neural networks (DNNs) have been regarded as the state-of-the-art classification methods in a wide range of applications, especially in image classification.
no code implementations • CVPR 2018 • Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
On three challenging tasks, including Action Recognition in Videos, Image Captioning and Image Generation, BT-RNN outperforms TT-RNN and the standard RNN in terms of both prediction accuracy and convergence rate.
no code implementations • 11 Nov 2016 • Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael Lyu
Probabilistic Temporal Tensor Factorization (PTTF) is an effective algorithm to model the temporal tensor data.