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Realizing repeated quantum error correction in a distance-three surface code.

Authors :
Krinner S
Lacroix N
Remm A
Di Paolo A
Genois E
Leroux C
Hellings C
Lazar S
Swiadek F
Herrmann J
Norris GJ
Andersen CK
Müller M
Blais A
Eichler C
Wallraff A
Source :
Nature [Nature] 2022 May; Vol. 605 (7911), pp. 669-674. Date of Electronic Publication: 2022 May 25.
Publication Year :
2022

Abstract

Quantum computers hold the promise of solving computational problems that are intractable using conventional methods <superscript>1</superscript> . For fault-tolerant operation, quantum computers must correct errors occurring owing to unavoidable decoherence and limited control accuracy <superscript>2</superscript> . Here we demonstrate quantum error correction using the surface code, which is known for its exceptionally high tolerance to errors <superscript>3-6</superscript> . Using 17 physical qubits in a superconducting circuit, we encode quantum information in a distance-three logical qubit, building on recent distance-two error-detection experiments <superscript>7-9</superscript> . In an error-correction cycle taking only 1.1 μs, we demonstrate the preservation of four cardinal states of the logical qubit. Repeatedly executing the cycle, we measure and decode both bit-flip and phase-flip error syndromes using a minimum-weight perfect-matching algorithm in an error-model-free approach and apply corrections in post-processing. 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 <superscript>10</superscript> , support our understanding that fault-tolerant quantum computation will be practically realizable.<br /> (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Details

Language :
English
ISSN :
1476-4687
Volume :
605
Issue :
7911
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
35614249
Full Text :
https://doi.org/10.1038/s41586-022-04566-8