On-Demand Photon Storage and Retrieval with a Solid-State Photon Molecule at Room Temperature
Bibliographic record
Abstract
Deterministically achieving on-chip photon storage and retrieval is a fundamental challenge for integrated photonics. Moreover, this requirement is increasingly urgent as photon storage and retrieval is crucial to realize truly scalable room-temperature quantum computing. However, most of existing quantum memories integrated on chips must either work at cryogenic temperature or else are strongly coupled with the environment, which hugely reduces the efficiency. Here, we propose an on-chip room-temperature quantum memory comprising three coupled microcavities, which presents an ideal dark state decoupled by a waveguide, thereby allowing on-demand photon storage and retrieval with high efficiency and high fidelity simultaneously. Furthermore, we demonstrate that the single-photon temporal duration can be increased or decreased by a factor of 103, thereby enabling many crucial quantum applications. Our error-robust approach highlights the potential for a solid-state photonic molecule for use as on-chip quantum memory and for optical quantum computing.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".