Entanglement detection using mutually unbiased measurements
Bin Chen, Teng Ma, Shao-Ming Fei

TL;DR
This paper introduces a new entanglement detection method using mutually unbiased measurements, which is more effective than previous criteria and is experimentally feasible for high-dimensional bipartite systems.
Contribution
It proposes a novel entanglement detection criterion based on mutually unbiased measurements that outperforms previous criteria and is applicable to arbitrary dimensions.
Findings
The criterion is more effective than mutually unbiased bases-based criteria.
It becomes necessary and sufficient for isotropic states.
The method is experimentally implementable for arbitrary $d$-dimensional systems.
Abstract
We study the entanglement detection by using mutually unbiased measurements and provide a quantum separability criterion that can be experimentally implemented for arbitrary -dimensional bipartite systems. We show that this criterion is more effective than the criterion based on mutually unbiased bases. For isotropic states our criterion becomes both necessary and sufficient.
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.
