| --- |
| pretty_name: QLDPC FOM>12 Search Evidence |
| license: apache-2.0 |
| language: |
| - en |
| - zh |
| tags: |
| - quantum-error-correction |
| - qldpc |
| - scientific-discovery |
| - expert-review |
| - tabular |
| configs: |
| - config_name: candidates |
| data_files: data/candidates.jsonl |
| - config_name: round_summary |
| data_files: data/round_summary.jsonl |
| - config_name: stage2_best_verified |
| data_files: data/stage2_best_verified.jsonl |
| - config_name: historical_exact_fom11 |
| data_files: data/historical_exact_fom11.jsonl |
| --- |
| |
| # QLDPC FOM>12 Search Evidence |
|
|
| This is a **human-review snapshot**, not a winner announcement. It contains a compact selection of twisted-torus CSS quantum-code candidates, their check matrices, replay-oriented evidence summaries, and a readable description of the automated five-stage search pipeline. |
|
|
| > Status at snapshot: **in progress**. Sealed rounds: **1–4**. Certified novel candidates with exact `FOM > 12`: **0**. |
|
|
| ## Stage 2 verified near-miss update (2026-08-16) |
|
|
| A separate `stage2_best_verified` configuration now publishes 13 fully |
| replayed Stage 2 near-misses. All are `[[254,2,d<=39]]`, with verified |
| upper-bound FOM `1521/127 ~= 11.97638`. They are **rejections**, not wins, |
| and their exact distances remain unknown. See |
| [`docs/STAGE2_BEST_RESULT.md`](docs/STAGE2_BEST_RESULT.md). |
|
|
| The latest source boundary contained 102 raw-score ties; only the 13 released |
| rows completed the full replay used here. The dataset does not claim that all |
| 102 raw ties have the same evidence level. |
|
|
| ## Historical exact-distance reference (2026-08-17) |
|
|
| The separate `historical_exact_fom11` configuration contains one |
| canonical-deduplicated `[[288,50,8]]` CSS-BB code with legacy exact FOM |
| `100/9 ~= 11.1111`. The Campaign 4 source reports `d_X=d_Z=8` and all 100 |
| logical MILPs optimal. This is a historical exact non-winner, not a current |
| Stage 2 result. Its identity and matrices were replayed with the current code, |
| but the legacy run did not preserve a portable proof artifact under the modern |
| certificate schema. See |
| [`docs/HISTORICAL_EXACT_FOM11.md`](docs/HISTORICAL_EXACT_FOM11.md). |
|
|
| ## Snapshot summary |
|
|
| | Item | Value | |
| |---|---:| |
| | Selected candidates | 51 | |
| | Sealed trusted audits | 24 | |
| | Exact non-winners | 3 | |
| | Rejected with replayable witness | 21 | |
| | Formally open lower-bound candidates | 27 | |
| | Advisory upper-bound-only signals | 0 | |
| | Exact `FOM > 12` | 0 | |
| | Exact `FOM = 12` | 0 | |
|
|
| Best formally open item in this snapshot: `158bf9b332c9012345f8`: [[90,12,d]], 5 ≤ d ≤ 10, FOM ∈ [3.33333, 13.3333]. “Open” means the current rigorous interval has not excluded the target; it is **not** a proof of high distance. |
|
|
| ## Objective |
|
|
| For a quantum code `[[n,k,d]]`, this project uses |
|
|
| `FOM = k d² / n`. |
|
|
| The strict target is checked with integer arithmetic: **`k*d*d > 12*n`**. Equality is not a win. A candidate is promoted only when its distance evidence and novelty checks cross the appropriate trust boundary. |
| |
| ## Read this first |
| |
| 1. [`docs/PIPELINE.md`](docs/PIPELINE.md) — what each automated stage does. |
| 2. [`docs/METRICS.md`](docs/METRICS.md) — lower bounds, upper bounds, exact values, and search-only scores. |
| 3. [`docs/EXPERT_REVIEW_CHECKLIST.md`](docs/EXPERT_REVIEW_CHECKLIST.md) — concrete independent checks. |
| 4. [`data/candidates.jsonl`](data/candidates.jsonl) — one compact record per selected code. |
| 5. [`evidence/proofs.jsonl`](evidence/proofs.jsonl) and [`matrices/`](matrices/) — evidence and `H_X/H_Z` matrices. |
| |
| Run `python -B scripts/verify_dataset.py .` to validate every checksum, matrix, CSS commutation relation, reconstructed `k`, FOM field, and included logical witness. |
| |
| ## 中文说明 |
| |
| 这是供人类专家复核的**进行中快照**,不是“已经发现新纪录码”的声明。数据集收录精选 twisted-torus CSS 候选、`H_X/H_Z`、证据等级、FOM 区间、每轮统计和五阶段流水线说明。当前没有任何新候选被严格认证为 `FOM>12`。BP/OSD 的较大数值只是启发式距离上界,不能当作性能下界或最终结果。 |
| |
| ## Attribution and non-endorsement |
| |
| The challenge target follows [Shuxiang Cao's public gist](https://gist.github.com/ShuxiangCao/aa35ff78f403ed7ab730e36e165c3cf1). Publishing this dataset does **not** imply that Shuxiang Cao, NVIDIA, or any cited author has reviewed or endorsed these candidates. |
| |