Plain language
What this result means
Quantum LDPC distance estimates are often produced by heuristic decoders. Exact certification is useful because it separates a proved distance from a decoder estimate. Here the risk was overstatement, but the accessible published coprime BB/GB rows held.
- The campaign found no overstated distances in this target set.
- For 19 codes, CP-SAT proves the exact distance equals the published distance.
- For nine harder codes, the report gives only the proven lower bound and the best logical operator found.
Visual notes
How to read the result
Result table
Nineteen published qLDPC distances certified exactly; zero overstatements found.
Method
How it was found
The campaign rebuilt each CSS code from published construction polynomials and solved the minimum logical-operator problem exactly where feasible.
- Implemented GF(2) linear algebra for CSS validity, ranks, and logical spaces.
- Calibrated on textbook codes and known qLDPC anchors.
- Modeled minimum-weight logical search with CP-SAT.
- Separated exact certificates from timed-out bound-only cases.
Verification
How it was checked
verify.py rebuilds H_X and H_Z, checks CSS validity and parameters, reruns the distance proof, and re-exhibits each witnessing logical operator.
Scope
What is not being claimed
This is not a new-code result and not a record beat. It confirms 19 distances and reports bounds for unresolved larger cases.
References
Baseline sources
Citation
How to cite
Numaro Autoresearch Team. "qLDPC distances: exact certificates, zero corrections." Numaro Research Report NUMARO-2026-013, 2026.
@techreport{numaro2026QldpcDistanceCertificates,
title = {qLDPC distances: exact certificates, zero corrections},
author = {Numaro Autoresearch Team},
institution = {Numaro},
number = {NUMARO-2026-013},
year = {2026},
url = {https://numaro.tech/research/qldpc-distance-certificates-2026/}
}