A quantum processor based on coherent transport of entangled atom arrays
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s41586-022-04592-6.pdf
Description
Published version
Size
5.21 MB
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Unknown
Checksum (MD5)
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Author(s)
Bluvstein, Dolev
Levine, Harry
Semeghini, Giulia
Wang, Tout T.
Ebadi, Sepehr
Kalinowski, Marcin
Keesling, Alexander
Maskara, Nishad
Pichler, Hannes
Greiner, Markus
Date Issued
April 2022
Journal
Nature
Publisher
Springer Science and Business Media LLC
Citation
Bluvstein, Dolev, Levine, Harry, Semeghini, Giulia, Wang, Tout T, Ebadi, Sepehr et al. 2022. "A quantum processor based on coherent transport of entangled atom arrays." Nature, 604 (7906).
Version
Final published version
Abstract
AbstractThe ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems1,2. In most state-of-the-art approaches, qubits interact locally, constrained by the connectivity associated with their fixed spatial layout. Here we demonstrate a quantum processor with dynamic, non-local connectivity, in which entangled qubits are coherently transported in a highly parallel manner across two spatial dimensions, between layers of single- and two-qubit operations. Our approach makes use of neutral atom arrays trapped and transported by optical tweezers; hyperfine states are used for robust quantum information storage, and excitation into Rydberg states is used for entanglement generation3–5. We use this architecture to realize programmable generation of entangled graph states, such as cluster states and a seven-qubit Steane code state6,7. Furthermore, we shuttle entangled ancilla arrays to realize a surface code state with thirteen data and six ancillary qubits8 and a toric code state on a torus with sixteen data and eight ancillary qubits9. Finally, we use this architecture to realize a hybrid analogue–digital evolution2 and use it for measuring entanglement entropy in quantum simulations10–12, experimentally observing non-monotonic entanglement dynamics associated with quantum many-body scars13,14. Realizing a long-standing goal, these results provide a route towards scalable quantum processing and enable applications ranging from simulation to metrology.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.1038/s41586-022-04592-6
