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Record W3209331402 · doi:10.1109/lpt.2021.3124196

Net 300 Gbps/<i>λ</i> Transmission Over 2 km of SMF With a Silicon Photonic Mach-Zehnder Modulator

2021· article· en· W3209331402 on OpenAlex

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

VenueIEEE Photonics Technology Letters · 2021
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsModulation (music)Bit error ratePhotonicsSilicon photonicsTransmission (telecommunications)Forward error correctionOpticsIntensity modulationPhysicsElectronic engineeringQuadrature amplitude modulationComputer scienceTelecommunicationsPhase modulationDecoding methodsEngineering

Abstract

fetched live from OpenAlex

Employing our 47 GHz bandwidth silicon photonic (SiP) traveling wave Mach-Zehnder modulator (TW-MZM), we demonstrate the transmission of 134 Gbaud PAM-4 (net 250 Gbps) at a BER below the 6.7% overhead hard-decision forward error correction (HD-FEC) threshold of 3.8 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times \,\,10^{-3}$ </tex-math></inline-formula> over 2 km of standard single-mode fiber (SSMF) in the O-band with only linear feed- forward equalizer (FFE). With the aid of non-linear pre-distortion and FFE, we transmit 115 Gbaud PAM-8 (net 288 Gbps) and net 305 Gbps PS-PAM-8 above the 19.02% overhead soft-decision FEC with a normalized general mutual information (NGMI) threshold of 0.8798. These results are the highest reported net rates for an all-silicon modulator in an intensity modulation direct-detection (IM/DD) system.

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 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 score0.075
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
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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