On-chip near 100 dB pump filtering using silicon ion implantation
Bibliographic record
Abstract
Integrated photonics is an exciting platform for quantum communication, computing, and sensing due to its inherent stability and scalability. However, full monolithic or hybrid photonic quantum technology demonstrations remain limited owing to performance and integration challenges. One of the main challenges is the filtering the high-power classical pump light from the generated photons in spontaneous parametric down-conversion sources. Here, we report what we believe to be a novel optical filtering technique based on silicon ion implantation in silicon nitride (SiN) waveguides. Our approach effectively introduces selective absorption of near-visible light, achieving nearly 100 dB suppression of the pump light at 775 nm. On the contrary, the insertion loss for light in the telecom C-band near 1550 nm is just around 4 dB with a scope of significant reduction. This result paves the way for practical and efficient integration of quantum sources, filters, and detectors on-chip, advancing the field toward scalable quantum photonic systems.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".