Evidence map›Paper›PMID 39567694›Full record

ArticleNature2024

Learning high-accuracy error decoding for quantum processors.

Johannes Bausch, Andrew W Senior, Francisco J H Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin Satzinger, Murphy Yuezhen Niu, Sam Blackwell and 8 more

Abstract read
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Utility-Scale Quantum Computational Chemistry.The journal of physical chemistry letters · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. The Hitchhiker's Guide to the Surface Code.Entropy (Basel, Switzerland) · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Learning to decode logical circuits.Nature computational science · 2025
    Article
  10. Article
  11. Article
  12. Developing a quantum computing model for sequence annotation of interferon protein.Computational and structural biotechnology journal · 2025
    Article
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

18 authors.

Johannes Bausch *Google DeepMind, London, UK. jbausch@google.com.ORCID http://orcid.org/0000-0003-3189-9162
Andrew W Senior *Google DeepMind, London, UK. andrewsenior@google.com.ORCID http://orcid.org/0000-0002-2401-5691
Francisco J H Heras *Google DeepMind, London, UK.
Thomas Edlich *Google DeepMind, London, UK.ORCID http://orcid.org/0009-0004-0473-3727
Alex Davies *Google DeepMind, London, UK.ORCID http://orcid.org/0000-0003-4917-5234
Michael Newman *Google Quantum AI, Santa Barbara, CA, USA.
Cody JonesGoogle Quantum AI, Santa Barbara, CA, USA.
Kevin SatzingerGoogle Quantum AI, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0001-5865-0813
Murphy Yuezhen NiuGoogle Quantum AI, Santa Barbara, CA, USA.
Sam BlackwellGoogle DeepMind, London, UK.
George HollandGoogle DeepMind, London, UK.
Dvir KafriGoogle Quantum AI, Santa Barbara, CA, USA.
Juan AtalayaGoogle Quantum AI, Santa Barbara, CA, USA.
Craig GidneyGoogle Quantum AI, Santa Barbara, CA, USA.
Demis HassabisGoogle DeepMind, London, UK.ORCID http://orcid.org/0000-0003-2812-9917
Sergio BoixoGoogle Quantum AI, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-1090-7584
Hartmut NevenGoogle Quantum AI, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-9681-6746
Pushmeet KohliGoogle DeepMind, London, UK.ORCID http://orcid.org/0000-0002-7466-7997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Building a large-scale quantum computer requires effective strategies to correct errors that inevitably arise in physical quantum systems

Identifiers

PMID39567694
PMCPMC11602728

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.