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Record W2612965287 · doi:10.1109/jphot.2017.2702101

An 80 Gb/s Silicon Photonic Modulator Based on the Principle of Overlapped Resonances

2017· article· en· W2612965287 on OpenAlexafffund
Rui Li, David Patel, Alireza Samani, Eslam El‐Fiky, Zhenping Xing, Mohammed Y. S. Sowailem, Qiuhang Zhong, David V. Plant

Bibliographic record

VenueIEEE photonics journal · 2017
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsPhysicsModulation (music)Bit error ratePhotonicsPulse-amplitude modulationElectro-optic modulatorAmplitude-shift keyingDigital signal processingResonatorExtinction ratioInterferometryOpticsPhase-shift keyingQuadrature amplitude modulationSilicon photonicsPhase modulationOptical modulatorElectronic engineeringComputer scienceTelecommunicationsPulse (music)EngineeringDetector

Abstract

fetched live from OpenAlex

We report a silicon photonic modulator based on a Mach-Zehnder interferometer (MZI) loaded with a microring modulator (MRM) on one arm and a microring resonator (MRR) on the other arm. The device is operated with the resonances of the MRM and the MRR overlapped to improve the extinction ratios and the optical modulation amplitudes. The operating principle is studied in detail using an analytical model. The measured 3-dB electro-optic bandwidth of the device is 27.4 GHz under 0-V reverse bias voltage. In the back-to-back configuration, the modulator has error-free performance up to 38 Gb/s using on-off keying (OOK) modulation without digital signal processing (DSP). At 56 Gb/s, using four-level pulse amplitude modulation (PAM-4) with DSP, the measured bit error rate (BER) is below 1 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-6</sup> . We further present successful 56 Gb/s OOK transmission and 80 Gb/s PAM-4 transmission over 2 km of standard single mode fiber, with measured BERs below the hard-decision forward error correction threshold of 3.8 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-3</sup> .

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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

Citations12
Published2017
Admission routes2
Has abstractyes

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