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Q machine learning with tensor network. A short paper.

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i2000s committed Jun 8, 2018
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@@ -3436,6 +3436,24 @@ @Article{Bhat2005
timestamp = {2008.08.15},
}

@Article{Biamonte2018Quantum,
author = {{Biamonte}, J.},
title = {{Quantum Machine Learning Matrix Product States}},
journal = {ArXiv e-prints},
year = {2018},
eprint = {1804.02398},
month = apr,
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
adsurl = {http://adsabs.harvard.edu/abs/2018arXiv180402398B},
archiveprefix = {arXiv},
file = {:Biamonte2018Quantum.pdf:PDF},
groups = {QArtificialInteligence, TensorNetwork},
keywords = {Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Strongly Correlated Electrons, Computer Science - Learning},
owner = {qxd},
primaryclass = {quant-ph},
timestamp = {2018-06-07},
}

@Article{Biamonte2017Tensor,
author = {Biamonte, Jacob and Bergholm, Ville},
title = {Tensor Networks in a Nutshell},

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