Simulating Two-Qubit Gates Under the Influence of Charge Defects in an FD-SOI Device
Bibliographic record
Abstract
The exchange interaction has been successfully used to mediate qubit entanglement in various semiconductor quantum devices. Using the finite-element method, we combine a nonlinear Poisson solver with single-and many-body Schrödinger solvers to simulate the exchange interaction between a pair of spin qubits in a fully depleted silicon-on-insulator (FD-SOI) device. We also modify the Poisson solver to account for charge impurities and evaluate the effect of a single impurity on the exchange interaction strength, including its dependence on the impurity's position. The effect of the impurity on the exchange strength is then analyzed to calculate the average two-qubit gate fidelity achievable via the exchange interaction when the system is subject to charge noise arising from a charge randomly tunneling in and out of an interface impurity trap. The presented approach demonstrates the possibility of simulating key quantum-device performance metrics, such as two-qubit gate fidelity, starting only from the device geometry.
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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 | 0.001 |
| 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 | 0.001 | 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".