A 16 GHz silicon-based monolithic balanced photodetector with on-chip capacitors for 25 Gbaud front-end receivers
Bibliographic record
Abstract
In this paper, a Germanium-on-Silicon balanced photodetector (BPD) with integrated biasing capacitors is demonstrated for highly compact monolithic 100 Gb/s coherent receivers or 25 Gbaud front-end receivers for differential or quadrature phase shift keying. The balanced photodetector has a bandwidth of approximately 16.2 GHz at a reverse bias of -4.5 V. The balanced photodetector exhibits a common mode rejection ratio (CMRR) of 30 dB. For balanced detection of return-to-zero (RZ) differential phase shift keying (DPSK) signal, the photodetector has a sensitivity of -6.95 dBm at the BER of 10(-12). For non-return-to-zero (NRZ) on off keying (OOK) signal, the measured BER is 1.0 × 10(-12) for a received power of -1.65 dBm at 25 Gb/s and 9.9 × 10(-5) for -0.34 dBm at 30 Gb/s. The total footprint area of the monolithic front-end receiver is less than 1 mm(2). The BPD is packaged onto a ceramic substrate with two DC and one RF connectors exhibits a bandwidth of 15.9 GHz.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".