Conditional Entanglement
Dong Yang, Michal Horodecki, and Z. D. Wang

TL;DR
This paper introduces a new class of entanglement measures called conditional entanglement, derived from quantum extension and conditioning, which are convex, super-additive, and can be constructed from correlation measures.
Contribution
It presents a generic framework for constructing conditional entanglement measures that are convex, super-additive, and extend to multipartite systems, advancing entanglement quantification methods.
Findings
New entanglement measures are convex and super-additive.
Measures can be built directly from correlation measures.
Framework generalizes to multipartite entanglement.
Abstract
Based on the ideas of {\it quantum extension} and {\it quantum conditioning}, we propose a generic approach to construct a new kind of entanglement measures called {\it conditional entanglement}. The new measures, built from the known entanglement measures, are convex, automatically {\it super-additive}, and even smaller than the regularized versions of the generating measures. More importantly, new measures can also be built directly from measures of correlations, enabling us to introduce an {\it additive} measure and generalize it to a multipartite entanglement measure.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Mathematical Analysis and Transform Methods
