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Abstract

The generation of high-fidelity distributed multi-qubit entanglement is a challenging task for large-scale quantum communication and computational networks1-4. The deterministic entanglement of two remote qubits has recently been demonstrated with both photons5-10 and phonons11. However, the deterministic generation and transmission of multi-qubit entanglement has not been demonstrated, primarily owing to limited state-transfer fidelities. Here we report a quantum network comprising two superconducting quantum nodes connected by a one-metre-long superconducting coaxial cable, where each node includes three interconnected qubits. By directly connecting the cable to one qubit in each node, we transfer quantum states between the nodes with a process fidelity of 0.911 ± 0.008. We also prepare a three-qubit Greenberger-Horne-Zeilinger (GHZ) state12-14 in one node and deterministically transfer this state to the other node, with a transferred-state fidelity of0.656 ± 0.014. We further use this system to deterministically generate a globally distributed two-node, six-qubit GHZ state with a state fidelity of0.722 ± 0.021. The GHZ state fidelities are clearly above the threshold of 1/2 for genuine multipartite entanglement15, showing that this architecture can be used to coherently link together multiple superconducting quantum processors, providing a modular approach for building large-scale quantum computers16,17.

Details

Title
Deterministic multi-qubit entanglement in a quantum network
Author
Zhong, Youpeng 1 ; Chang, Hung-Shen 1 ; Bienfait, Audrey 1 ; Dumur, Étienne 1 ; Chou, Ming-Han 1 ; Conner, Christopher R; Grebel, Joel; Povey, Rhys G; Yan, Haoxiong; Schuster, David I; Cleland, Andrew N

 Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA 
Pages
571-575,575A
Section
Article
Publication year
2021
Publication date
Feb 25, 2021
Publisher
Nature Publishing Group
ISSN
00280836
e-ISSN
14764687
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2495069666
Copyright
Copyright Nature Publishing Group Feb 25, 2021