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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Bibliografiske detaljer
Udgivet i: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: Artigo
Udgivet: IOP Publishing 2025-01-01
Fag:
Machine learning
Multipartite entanglement
Nonlinear dimensionality reduction
Entanglement certification
Randomized correlators
Quantum computing
Online adgang:https://doi.org/10.1088/1367-2630/adde80
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https://doi.org/10.1088/1367-2630/adde80

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