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|a Bluvstein, Dolev
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|a Levine, Harry
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|a Semeghini, Giulia
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|a Wang, Tout T
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|a Ebadi, Sepehr
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|a Kalinowski, Marcin
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|a Keesling, Alexander
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|a Maskara, Nishad
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|a Pichler, Hannes
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|a Greiner, Markus
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|a Vuletić, Vladan
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|a Lukin, Mikhail D
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|a A quantum processor based on coherent transport of entangled atom arrays
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|b Springer Science and Business Media LLC,
|c 2022-05-04T16:15:27Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/142322
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|a <jats:title>Abstract</jats:title><jats:p>The ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems<jats:sup>1,2</jats:sup>. 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 generation<jats:sup>3-5</jats:sup>. We use this architecture to realize programmable generation of entangled graph states, such as cluster states and a seven-qubit Steane code state<jats:sup>6,7</jats:sup>. Furthermore, we shuttle entangled ancilla arrays to realize a surface code state with thirteen data and six ancillary qubits<jats:sup>8</jats:sup> and a toric code state on a torus with sixteen data and eight ancillary qubits<jats:sup>9</jats:sup>. Finally, we use this architecture to realize a hybrid analogue-digital evolution<jats:sup>2</jats:sup> and use it for measuring entanglement entropy in quantum simulations<jats:sup>10-12</jats:sup>, experimentally observing non-monotonic entanglement dynamics associated with quantum many-body scars<jats:sup>13,14</jats:sup>. Realizing a long-standing goal, these results provide a route towards scalable quantum processing and enable applications ranging from simulation to metrology.</jats:p>
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|a en
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|a Article
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|t 10.1038/s41586-022-04592-6
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773 |
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|t Nature
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