Beyond 300 Gbps Short-Reach Links Using TFLN MZMs With 500 mV<sub>pp</sub> and Linear Equalization
Bibliographic record
Abstract
Driven by the growing data demand and the stringent power constraints on short-reach datacenter interconnects (DCI), this work compares the driver-less (RF driver-free) transmission performance of thin-film lithium niobate (TFLN) Mach-Zehnder modulators (MZM). Two C-band MZMs (18 / 23 mm) fabricated in a commercial foundry are considered. Using the longer MZM with only linear equalization and ~500 mVpp driving signal, we transmit: (1) 132 Gbaud PAM6 signal (net 309 Gbps) below the 6.7% overhead (OH) hard-decision (HD)-FEC threshold; and (2) 136 Gbaud PAM8 signal (net 342 Gbps) above the 19.02% OH soft-decision (SD)-FEC normalized generalized mutual information (NGMI) threshold of 0.8798 over 500 m of standard single-mode fiber (SSMF). This work demonstrates the feasibility of operating beyond 300 G/lane using TFLN MZMs with CMOS-compatible driving levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".