Privacy Subcard
| Field | Response |
|---|---|
| Generatable or reverse engineerable personal data? | No |
| Personal data used to create this model? | No |
| Was consent obtained for any personal data used? | Not Applicable |
| How often is dataset reviewed? | Not Applicable: Training data includes synthetically generated circuit-level color-code syndrome data from triangular color-code memory simulations (superdense / nearest-neighbor schedule, circuit-level depolarizing noise); generated on-the-fly during training with cuStabilizer (Stim is used only to parse circuits into our internal representation, not to generate data), then immediately destroyed. No persistent dataset exists. |
| Was data from user interactions with the AI model (e.g., user input and prompts) used to train the model? | No |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | Not Applicable |
| Applicable Privacy Policy | https://www.nvidia.com/en-us/about-nvidia/privacy-policy/ |
Xet Storage Details
- Size:
- 1.14 kB
- Xet hash:
- 3e2acd99cf500f378d76bb66747c907f6b689a11b5247e4191f23e14edc13450
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