Atomic-coherence-assisted multipartite entanglement generation with dressing-energy-level-cascaded four-wave mixing

Yuliang Liu, Jiajia Wei, Mengqi Niu, Yixin Lin, Zhili Chen, Jin Yan, Binshuo Luo, Feng Li, Yin Cai, and Yanpeng Zhang
Phys. Rev. A 106, 043709 – Published 13 October 2022

Abstract

Multipartite entanglement plays an important role in quantum information processing and quantum metrology. Here, the dressing-energy-level-cascaded four-wave mixing (FWM) processes are proposed to generate all-optical controlled multipartite entanglement within a single device. The entanglement characteristics of the produced states of light are characterized by applying the Duan criterion and the positivity under partial transposition criterion. Moreover, by using an internal dressing field to modulate atomic coherence, multiple quantum coherent channels of FWM are simultaneously constructed, which result in a great extension of entanglement mode number and quantum information capacity. We find that the violation of the entanglement criteria inequalities is coherent-channel dependent, and the produced states can be directly modulated via atomic coherence. Our system can integrate the generation and modulation of the entangled states in one process. It may help provide a compact method for realizing large-scale quantum networks.

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  • Received 22 March 2022
  • Accepted 26 September 2022

DOI:https://doi.org/10.1103/PhysRevA.106.043709

©2022 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & OpticalGeneral Physics

Authors & Affiliations

Yuliang Liu*, Jiajia Wei*, Mengqi Niu, Yixin Lin, Zhili Chen, Jin Yan, Binshuo Luo, Feng Li, Yin Cai, and Yanpeng Zhang

  • Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Shaanxi Key Lab of Information Photonic Technique, School of Electronic Science and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China

  • *These authors contributed equally to this work.
  • caiyin@mail.xjtu.edu.cn
  • ypzhang@mail.xjtu.edu.cn

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Issue

Vol. 106, Iss. 4 — October 2022

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