Entanglement Structure: Entanglement Partitioning in Multipartite Systems and Its Experimental Detection Using Optimizable Witnesses
He Lu, Qi Zhao, Zheng-Da Li, Xu-Fei Yin, Xiao Yuan, Jui-Chen Hung,, Luo-Kan Chen, Li Li, Nai-Le Liu, Cheng-Zhi Peng, Yeong-Cherng Liang,, Xiongfeng Ma, Yu-Ao Chen, Jian-Wei Pan

TL;DR
This paper introduces efficient, noise-robust methods for identifying the detailed entanglement structure in multipartite quantum systems using minimal local measurements, demonstrated through experimental verification on eight-photon states.
Contribution
It proposes two new families of entanglement witnesses based on entanglement intactness and depth, requiring only two local measurements, to systematically infer entanglement structures.
Findings
Successfully verified entanglement structures in five eight-photon states.
Demonstrated robustness of methods against noise and imperfections.
Showed that experimental data can be classically postprocessed for detailed insights.
Abstract
Creating large-scale entanglement lies at the heart of many quantum information processing protocols and the investigation of fundamental physics. For multipartite quantum systems, it is crucial to identify not only the presence of entanglement but also its detailed structure. This is because in a generic experimental situation with sufficiently many subsystems involved, the production of so-called genuine multipartite entanglement remains a formidable challenge. Consequently, focusing exclusively on the identification of this strongest type of entanglement may result in an all or nothing situation where some inherently quantum aspects of the resource are overlooked. On the contrary, even if the system is not genuinely multipartite entangled, there may still be many-body entanglement present in the system. An identification of the entanglement structure may thus provide us with a hint…
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.
