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Multi-qubit entanglement and algorithms on a neutral-atom quantum computer

Author

Listed:
  • T. M. Graham

    (University of Wisconsin-Madison)

  • Y. Song

    (University of Wisconsin-Madison)

  • J. Scott

    (University of Wisconsin-Madison)

  • C. Poole

    (University of Wisconsin-Madison)

  • L. Phuttitarn

    (University of Wisconsin-Madison)

  • K. Jooya

    (University of Wisconsin-Madison)

  • P. Eichler

    (University of Wisconsin-Madison)

  • X. Jiang

    (University of Wisconsin-Madison)

  • A. Marra

    (University of Wisconsin-Madison
    University of Central Florida)

  • B. Grinkemeyer

    (University of Wisconsin-Madison
    Harvard University)

  • M. Kwon

    (University of Wisconsin-Madison
    Columbia University)

  • M. Ebert

    (ColdQuanta, Inc.)

  • J. Cherek

    (ColdQuanta, Inc.)

  • M. T. Lichtman

    (ColdQuanta, Inc.)

  • M. Gillette

    (ColdQuanta, Inc.)

  • J. Gilbert

    (ColdQuanta, Inc.)

  • D. Bowman

    (Oxford Centre for Innovation)

  • T. Ballance

    (Oxford Centre for Innovation)

  • C. Campbell

    (ColdQuanta, Inc.)

  • E. D. Dahl

    (ColdQuanta, Inc.)

  • O. Crawford

    (Riverlane)

  • N. S. Blunt

    (Riverlane)

  • B. Rogers

    (Riverlane)

  • T. Noel

    (ColdQuanta, Inc.)

  • M. Saffman

    (University of Wisconsin-Madison
    ColdQuanta, Inc.)

Abstract

Gate-model quantum computers promise to solve currently intractable computational problems if they can be operated at scale with long coherence times and high-fidelity logic. Neutral-atom hyperfine qubits provide inherent scalability owing to their identical characteristics, long coherence times and ability to be trapped in dense, multidimensional arrays1. Combined with the strong entangling interactions provided by Rydberg states2–4, all the necessary characteristics for quantum computation are available. Here we demonstrate several quantum algorithms on a programmable gate-model neutral-atom quantum computer in an architecture based on individual addressing of single atoms with tightly focused optical beams scanned across a two-dimensional array of qubits. Preparation of entangled Greenberger–Horne–Zeilinger (GHZ) states5 with up to six qubits, quantum phase estimation for a chemistry problem6 and the quantum approximate optimization algorithm (QAOA)7 for the maximum cut (MaxCut) graph problem are demonstrated. These results highlight the emergent capability of neutral-atom qubit arrays for universal, programmable quantum computation, as well as preparation of non-classical states of use for quantum-enhanced sensing.

Suggested Citation

  • T. M. Graham & Y. Song & J. Scott & C. Poole & L. Phuttitarn & K. Jooya & P. Eichler & X. Jiang & A. Marra & B. Grinkemeyer & M. Kwon & M. Ebert & J. Cherek & M. T. Lichtman & M. Gillette & J. Gilbert, 2022. "Multi-qubit entanglement and algorithms on a neutral-atom quantum computer," Nature, Nature, vol. 604(7906), pages 457-462, April.
    • Handle: RePEc:nat:nature:v:604:y:2022:i:7906:d:10.1038_s41586-022-04603-6
    DOI: 10.1038/s41586-022-04603-6
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    Citations

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    Cited by:

    1. Zehang Bao & Shibo Xu & Zixuan Song & Ke Wang & Liang Xiang & Zitian Zhu & Jiachen Chen & Feitong Jin & Xuhao Zhu & Yu Gao & Yaozu Wu & Chuanyu Zhang & Ning Wang & Yiren Zou & Ziqi Tan & Aosai Zhang &, 2024. "Creating and controlling global Greenberger-Horne-Zeilinger entanglement on quantum processors," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. Shankar G. Menon & Noah Glachman & Matteo Pompili & Alan Dibos & Hannes Bernien, 2024. "An integrated atom array-nanophotonic chip platform with background-free imaging," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    3. Benedikt Fauseweh, 2024. "Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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