Machine-learning certification of multipartite entanglement for noisy quantum hardware

Entanglement is a fundamental aspect of quantum physics, both conceptually and for its many applications. Classifying an arbitrary multipartite state as entangled or separable—a task referred to as the separability problem—poses a significant challenge, since a state can be entangled with respect to...

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Bibliographic Details

Published in:	New Journal of Physics
Main Authors:	Andreas J C Fuchs, Eric Brunner, Jiheon Seong, Hyeokjea Kwon, Seungchan Seo, Joonwoo Bae, Andreas Buchleitner, Edoardo G Carnio
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	machine learning multipartite entanglement nonlinear dimensionality reduction entanglement certification randomized correlators quantum computing
Online Access:	https://doi.org/10.1088/1367-2630/adde80