Mixed state entanglement classification using artificial neural networks

Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies. One such method, known as separable neural network quantum states (SNNS), employs a neural network inspired parameterization of quantum states...

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Autors principals:	Cillian Harney, Mauro Paternostro, Stefano Pirandola
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2021-01-01
Col·lecció:	New Journal of Physics
Matèries:	entanglement classification entanglement measures machine learning neural network quantum states
Accés en línia:	https://doi.org/10.1088/1367-2630/ac0388
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