Single quantum dot-in-a-rod embedded in a photonic nanowire waveguide for telecom band emission
Bibliographic record
Abstract
Bright emission from non-classical light sources is a key requirement for their practical use in quantum optics. In this Letter, we report on an alternative approach to realize high-brightness nanowire emitters in the telecom band. We discuss the growth and optical properties of a single InAs0.68P0.32 quantum dot in an InAs0.50P0.50 quantum rod, all embedded in an InP nanowire waveguide. Modifying the bandgap energy of the matrix surrounding the quantum dot by inserting it into an InAs0.50P0.50 quantum rod, instead of InP, reduces the barrier height for carriers in the dot. As a result, light emission at λ = 1310 nm is reached from an InAs0.68P0.32 dot grown with the same deposition conditions as that used for λ = 950 nm emission in the conventional structure. We demonstrate that the dot-in-a-rod (DROD) configuration increases (up to fivefold) the emission rate of the emitters at 1310–1550 nm as compared to those grown with the higher dot aspect ratio required when not using the DROD structure. Carrier generation localized to the dot (quasi-resonant scheme) is achieved by optically pumping the rod below the InP bandgap.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".