| --- |
| license: apache-2.0 |
| task_categories: |
| - other |
| tags: |
| - quantum-error-correction |
| - surface-code |
| - willow |
| pretty_name: Willow Surface-Code Detection Events |
| configs: |
| - config_name: default |
| data_files: data/*.parquet |
| --- |
| |
| # Willow Surface-Code Detection Events (ingested) |
|
|
| Detection events and logical-observable flips derived from Google's Willow |
| below-threshold surface-code dataset (Zenodo |
| [10.5281/zenodo.13273331](https://doi.org/10.5281/zenodo.13273331)), rotated |
| surface code at distances 3, 5, 7 in X and Z memory. |
|
|
| Each row is one experimental **shot**. Detection events are derived from the raw |
| device measurement records with Stim's measurement-to-detector converter, using |
| the per-shot sweep bits, and validated to reproduce the dataset's shipped |
| `detection_events.b8` / `obs_flips_actual.b8` **byte-for-byte** for all |
| 420 configurations. |
|
|
| ## Columns |
|
|
| | column | type | meaning | |
| |---|---|---| |
| | `distance` | int16 | code distance d (3, 5, 7) | |
| | `basis` | string | `X` or `Z` memory | |
| | `rounds` | int16 | number of QEC cycles | |
| | `orientation` | string | patch location label on the chip (e.g. `q4_5`) | |
| | `shot` | int32 | shot index within the configuration | |
| | `detectors` | list<bool> | which detectors fired (length `num_detectors`, `= 2 * rounds * (d^2-1)/2`) | |
| | `observable` | bool | ground-truth logical flip the decoder must predict | |
|
|
| One Parquet shard per `(distance, orientation, basis, rounds)` configuration under |
| `data/`. The decoder sees only `detectors`; `observable` is the held-out answer key. |
|
|
| ## Decoding bundle |
|
|
| Alongside the detection events, each config ships the inputs a decoder panel needs, |
| keyed by the same `<stem>` (`d{D}_at_{orient}__{basis}__r{rounds:03d}`): |
|
|
| - `circuits/<stem>.stim` — the ideal (noiseless) annotated circuit. |
| - `dems/<stem>.si1000.dem.gz` — shipped SI1000 detector error model (gzipped). |
| - `dems/<stem>.rl.dem.gz` — shipped RL-optimized detector error model (gzipped). |
|
|
| With these, the whole evaluation runs off this dataset with no local copy of the |
| 12 GB Willow tree. |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("ShayManor/willow-surface-code-detection-events", split="train") # detection events |
| ``` |
|
|
