Semidefinite programming lower bounds on the squashed entanglement - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2022

Semidefinite programming lower bounds on the squashed entanglement

Résumé

The squashed entanglement is a widely used entanglement measure that has many desirable properties. However, as it is based on an optimization over extensions of arbitrary dimension, one drawback of this measure is the lack of good algorithms to compute it. Here, we introduce a hierarchy of semidefinite programming lower bounds on the squashed entanglement.

Dates et versions

hal-03750963 , version 1 (13-08-2022)

Licence

Paternité

Identifiants

Citer

Hamza Fawzi, Omar Fawzi. Semidefinite programming lower bounds on the squashed entanglement. 2022. ⟨hal-03750963⟩
52 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More