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Record W4386454388 · doi:10.1364/quantum.2023.qw3a.2

Time-bin Encoded Photons over Multi-mode Channels: Advances on Quantum Communications and Sensing Over Free-space Channels

2023· article· en· W4386454388 on OpenAlexaff
Thomas Jennewein, Ramy Tannous, Wilson Wu, Dogan Sinar, Stéphane Vinet, Alexandra Kirillova, Shihan Sajeed, Alexander Ling, Chithrabhanu Perumangatt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsDepartment of National DefenceDefence Research and Development CanadaUniversity of Waterloo
Fundersnot available
KeywordsBinQuantum channelPhotonComputer scienceFree spacePhysicsQuantumQuantum information scienceEncoding (memory)Free-space optical communicationSpace (punctuation)Quantum informationOpticsQuantum entanglementOptical communicationQuantum mechanicsAlgorithm

Abstract

fetched live from OpenAlex

The recent solution to spatial mode fluctuation using imaging interferometers make time-bin quantum signals viable for free-space applications. We highlight recent experimental advances including a plug-play QKD system, an imaging quantum LIDAR, that illustrate the exciting potential for free-space applications using time-bin encoding.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

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

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 head0.314
Teacher spread0.284 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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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