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Record W4323538330 · doi:10.1117/12.2649945

Hong-Ou-Mandel interference from distinct molecules on the same chip

2023· article· en· W4323538330 on OpenAlexaff
Maja Colautti, Davide Bacco, Rocco Duquennoy, R. Emadi, Prosenjit Majumder, Pietro Lombardi, Ghülam Murtaza, Michael Hilke, F. S. Cataliotti, Alessandro Zavatta, Costanza Toninelli

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsMcGill University
Fundersnot available
KeywordsInterference (communication)PhotonicsQuantum interferencePhotonQuantumQuantum key distributionKey (lock)PhysicsQuantum imagingChipComputer scienceOptoelectronicsQuantum sensorQuantum networkQuantum informationTelecommunicationsQuantum mechanicsComputer security

Abstract

fetched live from OpenAlex

A major challenge in photonic quantum technologies is two-photon interference from distinct quantum emitters on the same chip. Here, we show and discuss recent results on Hong–Ou–Mandel interference experiments using couples of single organic molecules within few tens of microns, yielding post-selected visibilities of up to 97%. In particular, we discuss the potential interest for future realizations of measurement-device independent quantum key distribution protocols for information-theoretic secure communication.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.244
Teacher spread0.214 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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