Distance between Bound Entangled States from Unextendible Product Bases and Separable States
Marcin Wie\'sniak, Palash Pandya, Omer Sakarya, Bianka Woloncewicz

TL;DR
This paper explores using the Gilbert algorithm to improve entanglement witnesses for unextendible product basis bound entangled states, showing it often outperforms previous methods and enhances experimental robustness.
Contribution
It introduces a novel application of the Gilbert algorithm to optimize entanglement witnesses for UPB bound entangled states, demonstrating improved performance over existing constructions.
Findings
Gilbert algorithm can effectively approximate the CSS for UPB BE states.
Witnesses found with Gilbert algorithm are more optimal and tolerant to imperfections.
A relationship exists between entanglement amount and the size of the UPB central tile.
Abstract
We discuss the use of the Gilbert algorithm to tailor entanglement witnesses for unextendibleproduct basis bound entangled states (UPB BE states). The method relies on the fact that an optimalentanglement witness is given by a plane perpendicular to a line between the reference state, entanglementof which is to be witnessed, and its closest separable state (CSS). The Gilbert algorithm finds anapproximation of CSS. In this article, we investigate if this approximation can be good enough toyield a valid entanglement witness. We compare witnesses found with Gilbert algorithm and those givenby Bandyopadhyay-Ghosh-Roychowdhury (BGR) construction. This comparison allows us to learnabout the amount of entanglement and we find a relationship between it and a feature of the constructionof UPB BE states, namely the size of their central tile. We show that in most studied cases, witnessesfound…
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.
