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Record W4402448540 · doi:10.1109/lssc.2024.3457775

A 112-Gb/s, -10 dBm Sensitivity, +5 dBm Overload, and SiPh-Based Receiver Frontend in 22-nm FDSOI

2024· article· en· W4402448540 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Solid-State Circuits Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsCisco Systems (Canada)
Fundersnot available
KeywordsdBmSensitivity (control systems)PhysicsOptoelectronicsElectrical engineeringMaterials scienceCMOSEngineeringElectronic engineeringAmplifier

Abstract

fetched live from OpenAlex

This letter demonstrates a Si-Photonic (SiPh)-based 112 Gb/s PAM4 optical receiver frontend using novel single-ended transimpedance amplifier (TIA) architecture that achieves −10 and +5 dBm input optical modulation amplitude (OMA) sensitivity and overload, respectively. To achieve that an overload mitigation circuit is proposed to break the tradeoff between noise and linearity of the shunt feedback CMOS TIAs. The TIA is optimized to provide the best sensitivity and linearity performance at minimum and maximum input OMA, respectively. Implemented in 22-nm FDSOI technology, and designed for 112 Gb/s PAM4 optical links, the TIA achieves more than +15 dBm OMA range with 11 pA/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\surd $ </tex-math></inline-formula>Hz input referred noise while burning only 155 mW from an 1.8-V supply.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.226
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it