[PDF][PDF] Adaptive Tensor Networks Decomposition.
C Nie, H Wang, L Tian - BMVC, 2021 - bmvc2021-virtualconference.com
Tensor Decomposition (TD) is a powerful technique in solving high-dimensional
optimization problems and has been widely used in machine learning and data science …
optimization problems and has been widely used in machine learning and data science …
Quantum-classical machine learning by hybrid tensor networks
D Liu, J Yao, Z Yao, Q Zhang - arXiv preprint arXiv:2005.09428, 2020 - arxiv.org
Tensor networks (TN) have found a wide use in machine learning, and in particular, TN and
deep learning bear striking similarities. In this work, we propose the quantum-classical …
deep learning bear striking similarities. In this work, we propose the quantum-classical …
[PDF][PDF] 压缩感知理论(CS) 在弱信号量子测量与蛋白质结构计算中的应用
彭绪彪， 赵清， 葛墨林 - SCIENCE CHINA Information Sciences, 2021 - researchgate.net
摘要压缩感知(Compressive Sensing, CS) 理论自2006 年被提出至今已15 年有余,
在许多领域如单像素相机, CT 扫描成像, 雷达等经典系统中获得了成功应用与充分的发展 …
在许多领域如单像素相机, CT 扫描成像, 雷达等经典系统中获得了成功应用与充分的发展 …