Abstract

We study the detection of multipartite entanglement based on the generalized local uncertainty relations. A sufficient criterion for the entanglement of four-partite quantum systems is presented in terms of the local uncertainty relations. Detailed examples are given to illustrate the advantages of our criterion. The approach is generalized to general multipartite entanglement cases.

Highlights

  • We study the detection of multipartite entanglement based on the generalized local uncertainty relations

  • Quantum entanglement is a remarkable feature in quantum ­physics[1] and has attracted much attention in recent years

  • Entangled states are recognized as the essential resources in quantum information processing, with many experimental ­realizations[2,3] and applications in such as quantum ­algorithms[4], quantum ­teleportation[4,5], quantum ­cryptography[6]

Read more

Summary

Introduction

We study the detection of multipartite entanglement based on the generalized local uncertainty relations. There have been many efficient entanglement criteria such as local uncertainty relations (LUR)[11,12], covariance matrix criterion (CMC)[13], computable cross-norm or realignment criterion (CCNR)[14], permutation separability ­criteria[15], criterion based on Bloch r­ epresentations[17,18], entanglement w­ itnesses[21], Bell-type inequalities c­ riteria[22], and criterion based on quantum Fisher ­information[23]. These criteria are only necessary condition for separable states and have different advantages in detect different entanglements. Zhang et al proposed a tighter form of the original LUR criterion to improve the range of entanglement ­detection[31], Akbari-Kourbolagh and Azhdargalam generalized the LUR criterion to the tripartite ­systems[33]

Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.