Light- and heavy-hole trions bound to isoelectronic centers
Bibliographic record
Abstract
Optical control strategies in semiconductor nanostructures have almost exclusively relied on heavy-hole exciton and trion states. Interestingly, optical access to both light- and heavy-hole trions may provide the missing resource for consolidating all single qubit operations in a single magnetic field configuration. In this work, we describe the conditions in which nearly degenerate light- and heavy-hole trions can be exploited for implementing electron spin initialization, control, and single-shot readout in systems of ${C}_{s}$ or higher symmetry. Then, we experimentally demonstrate that a previously unidentified nitrogen pair configuration in GaAs exhibiting ${C}_{s}$ symmetry binds both light- and heavy-hole excitons and negative trions. A detailed analysis of the energy and polarization of the emission allows determining the crystal-field and exchange coefficients, the electron, hole, and exciton Zeeman coefficients, and the light- and heavy-hole character of all states. This analysis also reveals that light- and heavy-hole trion states provide the $\mathrm{\ensuremath{\Lambda}}$ level structure necessary for initialization and control along with an energetically protected cycling transition compatible with single-shot readout.
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 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 | 0.001 | 0.001 |
| Open science | 0.000 | 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".