Robust microwave-optical photon conversion using cavity modes strongly hybridized with a color center ensemble
Bibliographic record
Abstract
A microwave-optical converter with high efficiency (>50%) and low added noise ( ≪ 1 photon) could enable the creation of scalable optical quantum networks. However, integrated converters demonstrated to date are too lossy or weakly non-linear to provide this performance. Here we develop a theory of microwave-optical conversion employing an ensemble of spin-bearing color centers strongly coupled to a photonic resonator and/or a superconducting microwave resonator. We find a counterintuitive operating point where microwave and optical photons are tuned to bare center/cavity resonances, which, compared to the weak-coupling limit, has much stronger non-linearity, offering high efficiency with reduced pump- and center-induced losses, and that is robust to inhomogeneous broadening. Taking color center and optical pump-induced losses into account, we predict ~ 95% efficiency and added noise ≪ 1 quanta at low ( μ W) pump powers for both Er- and T-centers in Si. Our results open new pathways to build quantum networks.
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 | 0.001 |
| 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".