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Record W3010222371 · doi:10.1364/ofc.2020.w3d.6

All Silicon IQ Modulator with 1Tb/s Line Rate

2020· article· en· W3010222371 on OpenAlex
Sasan Zhalehpour, Mengqi Guo, Jiachuan Lin, Zhuhong Zhang, Hassan Sepehrian, Yaojun Qiao, Wei Shi, Leslie A. Rusch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsHuawei Technologies (Canada)Université Laval
Fundersnot available
KeywordsEmulationModulation (music)Compensation (psychology)Electro-optic modulatorSiliconComputer sciencePolarization mode dispersionOpticsElectronic engineeringPhase modulationMaterials scienceOptical modulatorOptoelectronicsPhysicsTelecommunicationsOptical fiberEngineeringPhase noisePsychology

Abstract

fetched live from OpenAlex

By significantly improving the accuracy of our nonlinear pre-compensation digital signal processing, we achieve 1 Tb/s line rate with an all silicon modulator using 32QAM modulation with dual polarization emulation.

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.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.316

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 science0.0000.000
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 head0.015
GPT teacher head0.194
Teacher spread0.178 · 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

Quick stats

Citations11
Published2020
Admission routes1
Has abstractyes

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