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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Andreas J C Fuchs, Eric Brunner, Jiheon Seong, Hyeokjea Kwon, Seungchan Seo, Joonwoo Bae, Andreas Buchleitner, Edoardo G Carnio
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IOP Publishing 2025-01-01
Serie:	New Journal of Physics
Soggetti:	machine learning multipartite entanglement nonlinear dimensionality reduction entanglement certification randomized correlators quantum computing
Accesso online:	https://doi.org/10.1088/1367-2630/adde80
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!