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Record W2613251604 · doi:10.1109/lpt.2017.2702611

Silicon Photonic Ring-Assisted MZI for 50 Gb/s DAC-Less and DSP-Free PAM-4 Transmission

2017· article· en· W2613251604 on OpenAlexafffund
Rui Li, David Patel, Alireza Samani, Eslam El‐Fiky, Zhenping Xing, Mohamed Morsy-Osman, David V. Plant

Bibliographic record

VenueIEEE Photonics Technology Letters · 2017
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsDigital signal processingPhotonicsTransmission (telecommunications)InterferometryModulation (music)Bit error ratePulse-amplitude modulationSignal processingSilicon photonicsComputer scienceElectronic engineeringOpticsPhysicsOptoelectronicsPulse (music)TelecommunicationsComputer hardwareEngineeringDecoding methods

Abstract

fetched live from OpenAlex

We present the design and characterization of a silicon photonic ring-assisted Mach-Zehnder interferometer for four-level pulse amplitude modulation (PAM-4) short-reach transmission without the use of digital-to-analog converter (DAC) or digital signal processing (DSP). The PAM-4 optical signals are generated by driving two microring modulators with independent 2-level radio frequency signals. The device is operated at 25 Gbaud and the PAM-4 optical signals are transmitted over 2 km of standard single mode fiber. The bit error rate is estimated to be lower than 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> , showing a successful DAC-less and DSP-free PAM-4 transmission at 50 Gb/s.

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 categoriesMeta-epidemiology (narrow)
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 score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.237
Teacher spread0.222 · 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.

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

Citations26
Published2017
Admission routes2
Has abstractyes

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