Design parameters of the silicon nanocavities for single photon sources emitting in telecom wavelength
Bibliographic record
Abstract
The scalability of quantum photonic circuits is challenged by the need for single-photon generation, with silicon emerging as the most scalable material for integrating new and existing photonic systems. Bullseye cavities, also known as circular Bragg gratings, have recently received attention for single-photon generation and transmission due to their exceptional capacity to intensify and focus emission from single photon sources over long distances with precise wavelength selection. Achieving high quantum efficiency of one of the carbon-related color centers (G centers) in silicon-based circular Bragg gratings has not been explored yet. This study investigates critical parameters affecting photon transmission, including the Purcell factor, maximum electric field, and photon collection efficiency at a wavelength of 1279 nm (G centers). Our study shows that changes in the ring number and numerical aperture affected the Purcell factor, photon collection efficiency, and the maximum electric field. In addition, the Purcell factor enhancement was observed by adding a gold layer at the bottom of the substrate.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".