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Record W2248581682 · doi:10.1109/jphot.2015.2512105

A Silicon Photonic PAM-4 Modulator Based on Dual-Parallel Mach–Zehnder Interferometers

2015· article· en· W2248581682 on OpenAlexafffund
Alireza Samani, Venkat Veerasubramanian, Eslam El‐Fiky, David Patel, David V. Plant

Bibliographic record

VenueIEEE photonics journal · 2015
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntermodulationPhysicsElectro-optic modulatorPhotonicsModulation (music)OpticsOptoelectronicsPhase modulationAmplifierOptical modulatorPhase noise

Abstract

fetched live from OpenAlex

We present a silicon photonic dual-parallel Mach-Zehnder modulator (MZM) operating near 1550 nm used for four-level pulse amplitude modulation (PAM-4). The differential and integral nonlinearities of the device are investigated. A driving scheme and a biasing method that improves the linearity and PAM operation of the device are presented. The measured second harmonic distortion and two-tone, third-order intermodulation spurious-free dynamic range are 75 dB · Hz1/2and 86 dB · Hz3/2, respectively. We further investigate the performance of the device in a short-reach transmission system. We report a successful 50-Gbaud single-wavelength transmission of PAM-4 over 2 km of single-mode fiber (SMF) below hard decision pre forward error correction (pre-FEC) threshold of 4.4 × 10-3.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.237
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations61
Published2015
Admission routes2
Has abstractyes

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