Net 300 Gbps/<i>λ</i> Transmission Over 2 km of SMF With a Silicon Photonic Mach-Zehnder Modulator
Bibliographic record
Abstract
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$\times \,\,10^{-3}$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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".