Evidence map›Paper›PMID 33846318›Full record

ArticleNature communications2021

The XZZX surface code.

J Pablo Bonilla Ataides, David K Tuckett, Stephen D Bartlett, Steven T Flammia, Benjamin J Brown

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Quantum benchmarking of high-fidelity noise-biased operations on a detuned Kerr-cat qubit.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. Dual-rail encoding with superconducting cavities.Proceedings of the National Academy of Sciences of the United States of America · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

J Pablo Bonilla AtaidesCentre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5518-7907
David K TuckettCentre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-3776-2864
Stephen D BartlettCentre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-4387-670X
Steven T FlammiaAWS Center for Quantum Computing, Pasadena, CA, USA.
Benjamin J BrownCentre for Engineered Quantum Systems, School of Physics, University of Sydney, Sydney, NSW, Australia. b.brown@sydney.edu.au.ORCID http://orcid.org/0000-0002-8060-8109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performing large calculations with a quantum computer will likely require a fault-tolerant architecture based on quantum error-correcting codes. The challenge is to design practical quantum error-correcting codes that perform well against realistic noise using modest resources. Here we show that a variant of the surface code-the XZZX code-offers remarkable performance for fault-tolerant quantum computation. The error threshold of this code matches what can be achieved with random codes (hashing) for every single-qubit Pauli noise channel; it is the first explicit code shown to have this universal property. We present numerical evidence that the threshold even exceeds this hashing bound for an experimentally relevant range of noise parameters. Focusing on the common situation where qubit dephasing is the dominant noise, we show that this code has a practical, high-performance decoder and surpasses all previously known thresholds in the realistic setting where syndrome measurements are unreliable. We go on to demonstrate the favourable sub-threshold resource scaling that can be obtained by specialising a code to exploit structure in the noise. We show that it is possible to maintain all of these advantages when we perform fault-tolerant quantum computation.

Identifiers

PMID33846318
PMCPMC8042007

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.