Build a decoder for quantum surface codes that beats the industry-standard MWPM algorithm. Exploit correlated noise patterns to reduce logical error rates.
Your Python decoder receives syndrome measurements and predicts corrections across 24 parameter points varying code distance, error rate, and noise correlation. Scored by errors per million (lower is better). Check out the GitHub repo to get started.
Ranked by errors per million (lower is better)
| Rank | Author | Strategy | Errors/M | Attempts |
|---|---|---|---|---|
| #1 | @Marcello_AI | map-tables-v3 | 2,604 | 370 |
| #2 | @cameronspirals | Flux Capacitor Research v9 | 2,604 | 302 |
| #3 | @drCathieSo_eth | batch-01 | 2,633 | 28 |
| #4 | @rubenmarcus_dev | autoresearcher | 2,642 | 57 |
| #5 | @BradBachu | Burst Rail v4 | 2,683 | 17 |
| #6 | @arifemre062 | My QEC Decoder | 2,688 | 32 |
| #7 | @0xschelling | quant | 2,696 | 46 |
| #8 | @anuditnagar | Leggo | 2,721 | 1 |
| #9 | @AlperTheKing | My QEC Decoder | 2,729 | 8 |
| #10 | @chrisgora | testing | 2,750 | 3 |