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Native qudit entanglement in a trapped ion quantum processor

Author

Listed:
  • Pavel Hrmo

    (Universität Innsbruck)

  • Benjamin Wilhelm

    (Universität Innsbruck)

  • Lukas Gerster

    (Universität Innsbruck)

  • Martin W. Mourik

    (Universität Innsbruck)

  • Marcus Huber

    (Atominstitut, Technische Universität Wien
    Austrian Academy of Sciences)

  • Rainer Blatt

    (Universität Innsbruck
    Österreichische Akademie der Wissenschaften
    AQT)

  • Philipp Schindler

    (Universität Innsbruck)

  • Thomas Monz

    (Universität Innsbruck
    AQT)

  • Martin Ringbauer

    (Universität Innsbruck)

Abstract

Quantum information carriers, just like most physical systems, naturally occupy high-dimensional Hilbert spaces. Instead of restricting them to a two-level subspace, these high-dimensional (qudit) quantum systems are emerging as a powerful resource for the next generation of quantum processors. Yet harnessing the potential of these systems requires efficient ways of generating the desired interaction between them. Here, we experimentally demonstrate an implementation of a native two-qudit entangling gate up to dimension 5 in a trapped-ion system. This is achieved by generalizing a recently proposed light-shift gate mechanism to generate genuine qudit entanglement in a single application of the gate. The gate seamlessly adapts to the local dimension of the system with a calibration overhead that is independent of the dimension.

Suggested Citation

  • Pavel Hrmo & Benjamin Wilhelm & Lukas Gerster & Martin W. Mourik & Marcus Huber & Rainer Blatt & Philipp Schindler & Thomas Monz & Martin Ringbauer, 2023. "Native qudit entanglement in a trapped ion quantum processor," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37375-2
    DOI: 10.1038/s41467-023-37375-2
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    References listed on IDEAS

    as
    1. Yulin Chi & Jieshan Huang & Zhanchuan Zhang & Jun Mao & Zinan Zhou & Xiaojiong Chen & Chonghao Zhai & Jueming Bao & Tianxiang Dai & Huihong Yuan & Ming Zhang & Daoxin Dai & Bo Tang & Yan Yang & Zhihua, 2022. "A programmable qudit-based quantum processor," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
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