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      Mid-circuit correction of correlated phase errors using an array of spectator qubits

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          Abstract

          Scaling up invariably error-prone quantum processors is a formidable challenge. Although quantum error correction ultimately promises fault-tolerant operation, the required qubit overhead and error thresholds are daunting. In a complementary proposal, co-located, auxiliary ‘spectator’ qubits act as in-situ probes of noise, and enable real-time, coherent corrections of data qubit errors. We use an array of cesium spectator qubits to correct correlated phase errors on an array of rubidium data qubits. By combining in-sequence readout, data processing, and feed-forward operations, these correlated errors are suppressed within the execution of the quantum circuit. The protocol is broadly applicable to quantum information platforms, and establishes key tools for scaling neutral-atom quantum processors: mid-circuit readout of atom arrays, real-time processing and feed-forward, and coherent mid-circuit reloading of atomic qubits.

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          Most cited references42

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          Quantum sensing

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            NMR techniques for quantum control and computation

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              Quantum error correction for quantum memories

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                Author and article information

                Contributors
                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                May 25 2023
                Affiliations
                [1 ]Intelligence Community Postdoctoral Research Fellowship Program, Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
                [2 ]Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
                [3 ]Department of Physics, University of Chicago, Chicago, IL 60637, USA.
                Article
                10.1126/science.ade5337
                37228222
                b0683006-7604-471b-a429-ee87abf1e256
                © 2023
                History

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