A quantum processor based on coherent transport of entangled atom arrays

Dolev Bluvstein, Harry Levine, Giulia Semeghini, Tout T. Wang, Sepehr Ebadi, Marcin Kalinowski, Alexander Keesling, Nishad Maskara, Hannes Pichler, Markus Greiner, Vladan Vuletić and Mikhail D. Lukin ()
Additional contact information
Dolev Bluvstein: Harvard University
Harry Levine: Harvard University
Giulia Semeghini: Harvard University
Tout T. Wang: Harvard University
Sepehr Ebadi: Harvard University
Marcin Kalinowski: Harvard University
Alexander Keesling: Harvard University
Nishad Maskara: Harvard University
Hannes Pichler: University of Innsbruck
Markus Greiner: Harvard University
Vladan Vuletić: Massachusetts Institute of Technology
Mikhail D. Lukin: Harvard University

Nature, 2022, vol. 604, issue 7906, 451-456

Abstract: Abstract The 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.

Date: 2022
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Citations: View citations in EconPapers (10)

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DOI: 10.1038/s41586-022-04592-6

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