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Repeated Quantum Error Correction in a Distance-Three Surface Code with Superconducting Circuits
Andreas Wallraff - ETH Zürich
Monday, April 18, 2022, 11:00 am-12:00 pm Calendar
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Abstract

Quantum computers hold the promise of solving computational problems which are intractable using conventional methods. For fault-tolerant operation quantum computers must correct errors occurring due to unavoidable decoherence and limited control accuracy. Here, we demonstrate quantum error correction using the surface code, which is known for its exceptionally high tolerance to errors. Using 17 physical qubits in a superconducting circuit we encode quantum information in a distance-three logical qubit building up on recent distance-two error detection experiments [1]. In an error correction cycle taking only 1.1 µs, we demonstrate the preservation of four cardinal states of the logical qubit [2]. Repeatedly executing the cycle, we measure and decode both bit- and phase-flip error syndromes using a minimum-weight perfect-matching algorithm in an error-model-free approach and apply corrections in postprocessing. We find a low logical error probability of 3 % per cycle when rejecting experimental runs in which leakage is detected. The measured characteristics of our device agree well with a numerical model. Our demonstration of repeated, fast, and high-performance quantum error correction cycles, together with recent advances in ion traps, support our understanding that fault-tolerant quantum computation will be practically realizable.

[1] C. Kraglund Andersen et al., Nature Physics 16, 875–880 (2020)

[2] S. Krinner, N. Lacroix et al., arXiv:2112.03708 (2021)

(Work done in collaboration with Sebastian Krinner, Nathan Lacroix, Ants Remm, Agustin Di Paolo, Elie Genois, Catherine Leroux, Christoph Hellings, Stefania Lazar, Francois Swiadek, Johannes Herrmann, Graham J. Norris, Christian Kraglund Andersen, Markus Müller, Alexandre Blais, Christopher Eichler, and Andreas Wallraff)

https://umd.zoom.us/j/91508910194?pwd=RXlQU2YyMUhyUUtGSlI5NnRCbm9xdz09

Meeting ID: 915 0891 0194

Passcode: 617935

Find your local dial-in number: https://umd.zoom.us/u/adMcss99z

University of Maryland affiliates may participate using Zoom. If you have trouble joining the Zoom meeting, please try logging in first via the UMD Zoom portal (umd.zoom.com). For those without access to Zoom, this seminar will also be live streamed on YouTube. Once the seminar starts, you will find a link to the live stream on YouTube page at https://www.youtube.com/user/JQInews.

This talk is organized by Andrea F. Svejda