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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Bibliografski detalji

Glavni autori:	Cillian Harney, Mauro Paternostro, Stefano Pirandola
Format:	Artigo
Jezik:	Inglês
Izdano:	IOP Publishing 2021-01-01
Serija:	New Journal of Physics
Teme:	entanglement classification entanglement measures machine learning neural network quantum states
Online pristup:	https://doi.org/10.1088/1367-2630/ac0388
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