Q machine learning with tensor network. A short paper.

i2000s · Jun 8, 2018 · da70328729c6340337973248a9efa9447b43d95a · da70328
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commit da70328729c6340337973248a9efa9447b43d95a
Unified Split

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+18 −0 Archive.bib
diff --git a/Archive.bib b/Archive.bib
@@ -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},