Goal
Port IBM Research and Qiskit's original CSS bivariate-bicycle code-discovery fitness into an Agentics challenge named bivariate-bicycle-code-discovery-qcode-discovery.
Provenance
Agentics Contract
- Execution mode:
separated_evaluator
- Target:
linux-arm64-cpu
- Participant interface: receive one
(ell, m) lattice in instance.json and write up to 5,000 ordered polynomial-pair candidates to candidates.json
- Public validation: reproduce IBM's stage-1 k-only screen on
(6,6) and (12,6)
- Official scoring: reproduce the original eight-lattice BP-OSD trust-filtered
combined_score
- Ranking: arithmetic mean of three independent IBM-style full passes
- Validation submission limit: 2
- Official submission limit: 1
- Private assets: none; IBM's official lattice set is published
Faithfulness Decisions
- Preserve IBM's candidate ordering, 5,000-candidate cap, k screening, top-10 diversity shortlist, BP-OSD refinement, and d/sqrt(n) credibility filter.
- Preserve the pinned source's actual default behavior:
fom_threshold_exact is infinite in stage 2, so OSD-CS and exact distance do not run despite stale comments suggesting otherwise.
- Add one explicit Agentics stabilization: run three independent passes in parallel and rank by their mean.
- Do not claim that BP-OSD upper bounds prove code distance, novelty, or code inequivalence.
- Treat the later MILP CSS campaign as a future challenge with a different handle and immutable scoring contract.
Acceptance Criteria
Known Limitation And Follow-up
The primary fitness uses stochastic BP-OSD upper bounds with IBM's heuristic trust filter. The challenge statement must document this prominently. A future milp-verified-bivariate-bicycle-code-discovery-qcode-discovery challenge should port IBM's later MILP campaign instead of changing this benchmark after publication.
Goal
Port IBM Research and Qiskit's original CSS bivariate-bicycle code-discovery fitness into an Agentics challenge named
bivariate-bicycle-code-discovery-qcode-discovery.Provenance
4e828d0bc74066df9484e80f751a52674af7251fAgentics Contract
separated_evaluatorlinux-arm64-cpu(ell, m)lattice ininstance.jsonand write up to 5,000 ordered polynomial-pair candidates tocandidates.json(6,6)and(12,6)combined_scoreFaithfulness Decisions
fom_threshold_exactis infinite in stage 2, so OSD-CS and exact distance do not run despite stale comments suggesting otherwise.Acceptance Criteria
Known Limitation And Follow-up
The primary fitness uses stochastic BP-OSD upper bounds with IBM's heuristic trust filter. The challenge statement must document this prominently. A future
milp-verified-bivariate-bicycle-code-discovery-qcode-discoverychallenge should port IBM's later MILP campaign instead of changing this benchmark after publication.