128-GS/s ADC Front-End with Over 60-GHz Input Bandwidth in 22-nm Si/SiGe FDSOI CMOS
Bibliographic record
Abstract
The analog front-end of a 6-to-8 bit 128-GS/s SAR ADC architecture with record 60-GHz input bandwidth is presented. It includes the data path, 25% duty-cycle dc-32 GHz quadrature clock generator, 4 master, and 32 slave track-and-hold (T&H) circuits formed with CMOS series switches. Each of the 32 slave CMOS T&Hs drives either a 50-Ω output buffer (for testing) or a 30-fF hold capacitor, representative of the load provided by each of the 32 SAR sub-ADCs. To achieve record bandwidth and sampling rate, the data distribution network and the singleended-to-differential clock amplifier use novel 0.8-V n-MOS and 1.2-V p-MOS Cherry-Hooper buffers with good common-mode and supply rejection beyond 100 GHz, validated through smalland large-signal measurements. The 32-GHz quadrature clock generator is realized with a novel 80-GHz input bandwidth, 0.8-V quasi-CML static divider, followed by inductively-peaked CMOS logic circuits. The total power consumption of the analog frontend is 320 mW of which 120 mW are consumed by the data sampling interleaver and 200 mW by the clock generation unit. It occupies a total die area of 0.65 mm × 0.37 mm.
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 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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".