Mutually unbiased measurement based entanglement witnesses
Tao Li, Le-Min Lai, Shao-Ming Fei, Zhi-Xi Wang

TL;DR
This paper introduces a new class of entanglement witnesses based on mutually unbiased measurements (MUMs), which outperform previous criteria and are feasible for experimental implementation across all dimensions.
Contribution
The authors develop a novel entanglement witness construction using MUMs that surpasses previous methods based on MUBs and is applicable in any dimension.
Findings
Witnesses can be constructed from a complete set of $d+1$ MUMs for any dimension $d$
The new witnesses detect entanglement more effectively than previous criteria
The approach is experimentally feasible
Abstract
We study entanglement witness and present a construction of entanglement witnesses in terms of the mutually unbiased measurements (MUMs). These witnesses include the entanglement witnesses constructed from mutually unbiased bases (MUBs) as a special case. Comparing with the dimension dependence of MUBs, the witnesses can be always constructed from a complete set of MUMs for any dimension . We show that our witness can detect entanglement better than previous separability criterion given also by MUMs. And the approach can be experimentally implemented.
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.
