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Record W4389990376 · doi:10.1103/revmodphys.95.045006

Quantum repeaters: From quantum networks to the quantum internet

2023· article· en· W4389990376 on OpenAlexafffund
Koji Azuma, Sophia E. Economou, David Elkouss, Paul Hilaire, Liang Jiang, Hoi‐Kwong Lo, Ilan Tzitrin

Bibliographic record

VenueReviews of Modern Physics · 2023
Typearticle
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsUniversity of Toronto
FundersMoonshot Research and Development ProgramCore Research for Evolutional Science and TechnologyJapan Science and Technology AgencyNational Research Council CanadaArmy Research OfficeNatural Sciences and Engineering Research Council of CanadaJapan Society for the Promotion of ScienceHorizon 2020 Framework ProgrammeMultidisciplinary University Research InitiativeU.S. Air ForceDavid and Lucile Packard FoundationUniversity of Hong KongNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Science FoundationOntario Research FoundationConnaught FundNTT ResearchCanada Foundation for InnovationU.S. Department of EnergyMitacsAir Force Office of Scientific ResearchRoyal Bank of CanadaInnovative Solutions Canada
KeywordsPhysicsQuantum networkRepeater (horology)Quantum technologyQuantum information scienceQubitThe InternetQuantum computerQuantumQuantum informationQuantum sensorOpen quantum systemQuantum mechanicsQuantum entanglementComputer scienceWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

Quantum technology is now at a point where practical work can begin on creating the quantum internet. However, numerous challenges must be overcome before this vision becomes a reality. A global-scale quantum internet requires the development of the quantum repeater, a device that stores and manipulates qubits while interacting with or emitting entangled photons. This review examines different approaches to quantum repeaters and networks, covering their conceptual frameworks, architectures, and current progress in experimental implementation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0030.011
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.275
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations474
Published2023
Admission routes2
Has abstractyes

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