Observation of the all-exchange qubit and realization of a new enhanced readout technique in a gallium arsenide triple quantum dot
Bibliographic record
Abstract
A GaAs triple quantum dot was cooled to below 100mK and electrically manipulated for two distinct experiments. The first was a new measurement technique, called enhanced charge detection, which involving optimized excited state path relaxation used to increase the charge detection signal-to-noise by a factor of four. This was illustrated with the two spin S-T+ qubit [1]. A spin funnel with 50 coherent oscillations, i.e. 100 rotations, was measured using this scheme. This technique can be used with other spin qubits and readout measurement schemes [2]. The second experiment involved realizing the theoretically predicted all exchange qubit by studying the necessary activation parameters and comparing to theory. The coherent behaviour of an interacting three spin system is complex with contributions arising from several individual qubits, however, the all-exchange qubit is predicted to be protected against some forms of global noise [3]. Magnetic eld dependence measurements were used to isolate this qubit from other qubits. These measurements were compared to theory by modeling the time evolution of spin states [4].
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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 | 0.000 |
| Open science | 0.001 | 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 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".