A 3D-Integrated 56 Gb/s Silicon Photonic Transceiver with 5nm CMOS Electronics for Optical Compute Interconnects
Bibliographic record
Abstract
This work presents a hybrid-integrated silicon photonic$(\text{SiPh})$transceiver suitable for realizing chiplet-based optical$\mathrm{I}/\mathrm{O}$in future$\text{AI}/\text{ML}$ASIC packages. The transceiver die stack consist of two ICs: a$\text{SiP}\overline{\mathrm{h}}$IC (PIC) with compact, thermally stable electro-absorption modulators (EAMs), and a 5 nm CMOS electronic IC (EIC) with 56 Gb /s NRZ SerDes and optical interface circuits. A stacked CMOS EAM driver delivers 1.8 Vpp modulation voltage, achieving 3.5 dB extinction ratio. Transmit equalization and inductive peaking help accommodate sub-Nyquist RX analog front-end bandwidth, thereby reducing additive thermal noise from RX electronics. The complete 56 Gb$/\mathrm{s}$NRZ optical link consisting of the fiber-attached 3D SiPh transceiver and an external packaged light engine achieves BER$< 10^{-9}$with$< -10.7\text{dBm}$RX OMA while dissipating 2.8$\text{pJ}/\text{bit}$. The transceiver electronics consumes only 0.09$\text{mm}^{\overline{2}}$area, delivering more than 600 Gb$/\mathrm{s}/\text{mm}^{2}$areal bandwidth density.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".