Optomechanically induced transparency in diamond microdisks
Bibliographic record
Abstract
Summary form only given. Recent demonstrations of single-crystal diamond cavity optomechanical devices [1] have made progress towards the realization of hybrid quantum technologies capable of controlling interactions between light, vibrations, and electron spins [2]. The microdisk structure studied here is advantageous due to the simple geometry, strong optomechanical coupling between high frequency mechanical resonances, and ability to support low loss optical modes [1]. We demonstrate optomechanically induced transparency (OMIT) in a single-crystal diamond microdisk fabricated from bulk diamond [1], an example of which is shown in Fig. 1(a). The device studied here exhibits dispersive optomechanical coupling between a TM-like optical whispering gallery mode with intrinsic quality factor of Q(i)o ~ 5 x 104 at λo ~ 1.5 μm and a 2.4 GHz frequency (ωm/2π) mechanical radial breathing mode (RBM), as shown in Fig. 1(b). The OMIT scheme, outlined in Fig. 1(a) requires coupling both a strong control (ωc), and weak probe field (ωp) to the cavity optical resonance (ωo). OMIT occurs when the control field is red-detuned from the cavity such that Δoc = ωo - ωc = ωm. When Δpc = ωp - ωc = ωm, a buildup of intracavity field photons is prevented, resulting in a transparency window in the probe transmission spectrum, and a dip in the probe reflection from the cavity [3].
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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) | 0.001 | 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".