Design rules for highly parallel free-space optical interconnects
Bibliographic record
Abstract
Recently, a number of successful free-space chip-to-chip and board-to-board optical interconnects have been demonstrated. Here, we present some of the design rules that can be derived as a result of this work and also as a result of numerical and theoretical analyzes. We draw a number of conclusions. In the area of optoelectronic very large scale integration (VLSI) design, we suggest that differential electrical and optical transceiver designs provide the best performance. In the area of optical design, we present scaling and system partitioning laws for clustered optical relays and determine the interconnect distances at which microlens or macrolens systems are more suitable. We also show that the ease with which two modules can be aligned can be related to the optical invariant of the system and is, thus, a function of the size of the detector and the numerical aperture of the detector optics. Finally, we show that when multiple optical components must be aligned, very high individual component tolerances are required if the system as a whole is to have a high chance of success.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".