Supervised Learning with Projected Entangled Pair States

Supervised Learning with Projected Entangled Pair States

12 September 2020

Song Cheng

Lei Wang

Papers citing "Supervised Learning with Projected Entangled Pair States"

12 / 12 papers shown

Title
A Matrix Product State Model for Simultaneous Classification and Generation Alex Mossi Bojan Žunkovic Kyriakos Flouris 29 3 0 25 Jun 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models Frederiek Wesel Kim Batselier 24 1 0 11 Sep 2023
Machine learning with tree tensor networks, CP rank constraints, and tensor dropout Hao Chen T. Barthel 48 7 0 30 May 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 55 19 0 22 Jan 2023
Deep tensor networks with matrix product operators Bojan Žunkovič 72 4 0 16 Sep 2022
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning F. Barratt J. Dborin L. Wright 21 11 0 03 Mar 2022
Generative modeling with projected entangled-pair states Tom Vieijra L. Vanderstraeten F. Verstraete 56 19 0 16 Feb 2022
Classical Simulation of Variational Quantum Classifiers using Tensor Rings Dheeraj Peddireddy V. Bansal Vaneet Aggarwal 18 11 0 21 Jan 2022
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 14 25 0 24 Jun 2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States Jack Y. Araz M. Spannowsky 42 16 0 15 Jun 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 28 12 0 22 Dec 2020
Entanglement-guided architectures of machine learning by quantum tensor network Yuhan Liu Xiao Zhang M. Lewenstein Shi-Ju Ran 26 32 0 24 Mar 2018