Tensor networks for quantum machine learning
HM Rieser, F Köster, AP Raulf - Proceedings of the …, 2023 - royalsocietypublishing.org
Once developed for quantum theory, tensor networks (TNs) have been established as a
successful machine learning (ML) paradigm. Now, they have been ported back to the …
successful machine learning (ML) paradigm. Now, they have been ported back to the …
Multi-layered projected entangled pair states for image classification
L Li, H Lai - Sustainability, 2023 - mdpi.com
Tensor networks have been recognized as a powerful numerical tool; they are applied in
various fields, including physics, computer science, and more. The idea of a tensor network …
various fields, including physics, computer science, and more. The idea of a tensor network …
Locally orderless tensor networks for classifying two-and three-dimensional medical images
Tensor networks are factorisations of high rank tensors into networks of lower rank tensors
and have primarily been used to analyse quantum many-body problems. Tensor networks …
and have primarily been used to analyse quantum many-body problems. Tensor networks …
TTN‐FCN: A Tangut character classification framework by tree tensor network and fully connected neural network
Z Ma, J Ma - IET Image Processing, 2023 - Wiley Online Library
The classification of Tangut characters plays a significant role in Western Xia research, and
yet it is still a great challenge to recognize Tangut characters accurately due to the less inter …
yet it is still a great challenge to recognize Tangut characters accurately due to the less inter …