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Record W4320147882 · doi:10.1364/fio.2022.fw1b.1

On-chip generation and telecom-compatible processing of complex photonic systems in time and frequency

2022· article· en· W4320147882 on OpenAlexaff
Stefania Sciara, Hao Yu, Mario Chemnitz, Bennet Fischer, Piotr Roztocki, Benjamin Crockett, Christian Reimer, Lucia Caspani, Michael Kues, William J. Munro, Brent E. Little, David Moss, Zhiming Wang, José Azaña, Roberto Morandotti

Bibliographic record

VenueFrontiers in Optics + Laser Science 2022 (FIO, LS) · 2022
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsPhotonicsPhotonPhoton entanglementExploitChipQuantum opticsComputer sciencePhysicsElectronic engineeringTelecommunicationsOptoelectronicsQuantum entanglementEngineeringQuantumOpticsQuantum mechanics

Abstract

fetched live from OpenAlex

We exploit standard silicon-based chips and fiber telecommunications components to generate and process complex entangled photon states in the discrete time and frequency domains (two-level time-entangled photons, d-level frequency-entangled photon pairs, and three-level cluster states).

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.219
Teacher spread0.207 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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