Quantum-Memory-Enhanced Preparation of Nonlocal Graph States
Graph states are an important class of multipartite entangled states. Previous experimental generation of graph states and in particular the Greenberger-Horne-Zeilinger (GHZ) states in linear optics quantum information schemes is subjected to an exponential decay in efficiency versus the system size...
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Veröffentlicht in: | Physical review letters 2022-02, Vol.128 (8), p.080501-080501, Article 080501 |
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creator | Zhang, Sheng Wu, Yu-Kai Li, Chang Jiang, Nan Pu, Yun-Fei Duan, Lu-Ming |
description | Graph states are an important class of multipartite entangled states. Previous experimental generation of graph states and in particular the Greenberger-Horne-Zeilinger (GHZ) states in linear optics quantum information schemes is subjected to an exponential decay in efficiency versus the system size, which limits its large-scale applications in quantum networks. Here, we demonstrate an efficient scheme to prepare graph states with only a polynomial overhead using long-lived atomic quantum memories. We generate atom-photon entangled states in two atomic ensembles asynchronously, retrieve the stored atomic excitations only when both sides succeed, and further project them into a four-photon GHZ state. We measure the fidelity of this GHZ state and further demonstrate its applications in the violation of Bell-type inequalities and in quantum cryptography. Our work demonstrates the prospect of efficient generation of multipartite entangled states in large-scale distributed systems with applications in quantum information processing and metrology. |
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title | Quantum-Memory-Enhanced Preparation of Nonlocal Graph States |
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