MétaCan
Menu
← Back to cohort
Record W4287725284 · doi:10.48550/arxiv.2007.05095

Sagnac-type entangled photon source using only conventional polarization\n optics

2020· preprint· en· W4287725284 on OpenAlexaff
Youn Seok Lee, Mengyu Xie, Ramy Tannous, Thomas Jennewein

Bibliographic record

VenuearXiv (Cornell University) · 2020
Typepreprint
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInterferometryPhysicsOpticsPolarization (electrochemistry)PhotonQuantum entanglementPhoton polarizationPhoton entanglementWavelengthQuantum mechanics

Abstract

fetched live from OpenAlex

We designed and implemented a novel combination of a Sagnac-interferometer\nwith a Mach-Zehnder interferometer for a source of polarization-entangled\nphotons. The new versatile configuration does not require multi-wavelength\npolarization optics, yet it performs with a good polarization quality and\nphase-stability over a wide wavelength range. We demonstrate the interferometer\nusing only standard commercial optics to experimentally realize the pulsed\ngeneration of polarization-entangled photon-pairs at wavelengths of 764nm and\n1221nm via type-I spontaneous four-wave mixing in a polarization-maintaining\nfiber. Polarization entanglement was verified by a polarization-correlation\nmeasurement with a visibility of 95.5% from raw coincidence counts and the\nviolation of the Clauser-Horne-Shimony-Holt (CHSH) inequality with\n$S=2.70\\pm0.04$. The long-term phase-stability was characterized by an Allan\ndeviation of 8$^\\circ$ over an integration time of about 1 hour with no active\nphase-stabilization.\n

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.075
GPT teacher head0.197
Teacher spread0.122 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuearXiv (Cornell University)→Same topicQuantum Information and Cryptography→French-language works237,207→