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Trapped Ion Quantum Computing

Heterogeneous entanglement between a trapped ion and a solid-state quantum memory

arXiv
Authors: Chen-Xu Wang, Yi-Yang Wang, Tian-Xiang Zhu, Qing-Quan Yao, Peng-Jun Liang, Yuan-Cong Li, Zi-Peng Liu, Ran He, Yong-Jian Han, Jin-Ming Cui, Zong-Quan Zhou, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo

Year

2026

Paper ID

28722

Status

Preprint

Abstract Read

~2 min

Abstract Words

170

Citations

N/A

Abstract

Hybrid quantum networks offer a promising architecture for scalable quantum information processing and a future quantum internet, as they can combine the complementary strengths of disparate physical platforms. While single-atom systems provide deterministic quantum logic gates, atomic ensembles enable large-capacity quantum storage. However, generating entanglement between such heterogeneous systems has remained an open challenge, primarily due to fundamental spectral mismatches and system complexity. Here, we demonstrate a hybrid quantum network that entangles a single trapped mathrm{171Yb+} ion and a quantum memory based on rm 153Eu3+colonY2SiO5 crystal over a 75-m separation. Using polarization-maintaining quantum frequency conversion, we map spin-photon entanglement onto a hybrid entanglement between a single spin qubit and a collective excitation of the quantum memory. The resulting entangled state achieves a fidelity of \(89.21 pm 2.23\)\% and violates the CHSH-Bell inequality by 6 standard deviations $S = 2.328 pm 0.055$, confirming nonlocality between two heterogeneous nodes. This work establishes entanglement between a quantum processing module with a multiplexed quantum memory node, representing a key step toward a scalable, multifunctional quantum internet.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
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  • Hybrid quantum networks offer a promising architecture for scalable quantum information processing and a future quantum internet, as they can combine the complementary...

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