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Electromagnetically Induced Transparency of On-demand Single Photons in a Hybrid Quantum Network

Quantum Physics 2018-08-20 v1 Mesoscale and Nanoscale Physics

Abstract

Long range quantum communication and quantum information processing require the development of light-matter interfaces for distributed quantum networks. Even though photons are ideal candidates for network links to transfer quantum information, the system of choice for the realization of quantum nodes has not been identified yet. Ideally, one strives for a hybrid network architecture, which will consist of different quantum systems, combining the strengths of each system. However, interfacing different quantum systems via photonic channels remains a major challenge because a detailed understanding of the underlying light-matter interaction is missing. Here, we show the coherent manipulation of single photons generated on-demand from a semiconductor quantum dot using a rubidium vapor quantum memory, forming a hybrid quantum network. We demonstrate the engineering of the photons' temporal wave function using four-level atoms and the creation of a new type of electromagnetic induced transparency for quantum dot photons on resonance with rubidium transitions. Given the short lifetime of our quantum dot transition the observed dynamics cannot be explained in the established steady-state picture. Our results play a pivotal role in understanding quantum light-matter interactions at short time scales. These findings demonstrate a fundamental active node to construct future large-scale hybrid quantum networks.

Keywords

Cite

@article{arxiv.1808.05921,
  title  = {Electromagnetically Induced Transparency of On-demand Single Photons in a Hybrid Quantum Network},
  author = {Lucas Schweickert and Klaus D. Jöns and Mehdi Namazi and Guodong Cui and Thomas Lettner and Katharina D. Zeuner and Lara Scavuzzo Montaña and Saimon Filipe Covre da Silva and Marcus Reindl and Huiying Huang and Rinaldo Trotta and Armando Rastelli and Val Zwiller and Eden Figueroa},
  journal= {arXiv preprint arXiv:1808.05921},
  year   = {2018}
}

Comments

16 pages, 5 figures