Robust technology computer-aided design of gated quantum dots at cryogenic temperature
Bibliographic record
Abstract
We present non-linear Poisson and Schrödinger simulations of an industrially fabricated gated quantum dot device at 100 mK using the Quantum-Technology Computer-Aided Design (QTCAD) software [see https://nanoacademic.com/solutions/qtcad/ “QTCAD: A Computer-Aided Design Tool for Quantum-Technology Hardware, Nanoacademic Technologies Inc.” (2022)]. Using automatic adaptive meshing, the 3D conduction band edge profile of an ultra-thin body and buried oxide fully-depleted silicon-on-insulator field-effect transistor is calculated under steady-state and isothermal conditions. This profile is shown to display potential wells consistent with the experimental observation of side-gate-activated corner quantum dots. The electronic structure of these dots is investigated as a function of applied gate bias within the effective mass theory. Crucially, convergence at 100 mK is shown to be a robust feature of QTCAD's non-linear Poisson solver; convergence is consistently achieved without user intervention for 10 out of 10 random gate bias configurations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".