Entanglement classification via neural network quantum states

@article{Harney2019EntanglementCV,
  title={Entanglement classification via neural network quantum states},
  author={Cillian Harney and Stefano Pirandola and Alessandro Ferraro and Mauro Paternostro},
  journal={New Journal of Physics},
  year={2019},
  volume={22}
}
The task of classifying the entanglement properties of a multipartite quantum state poses a remarkable challenge due to the exponentially increasing number of ways in which quantum systems can share quantum correlations. Tackling such challenge requires a combination of sophisticated theoretical and computational techniques. In this paper we combine machine-learning tools and the theory of quantum entanglement to perform entanglement classification for multipartite qubit systems in pure states… 

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