I beat IBM's error rate by 30x using a 10-qubit Consensus Council
Details
- External ID
- 46557883
- Source
- HN
- Company
- —
- Product
- AI Council
- Website domain
- github.com
- Launched
- Jan. 9, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.09617918313570488
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Enrichment
- Theme
- scientific computing and deep tech tools
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- quantum computing error reduction
- Manually corrected
- False
Could you build this?
No Quantum error mitigation and consensus algorithms on physical or simulated quantum hardware require specialized quantum computing and physics expertise.
What it would actually take: Requires deep understanding of quantum information science, quantum error mitigation (QEM), and pulse-level quantum control using frameworks like Qiskit or Cirq. The hard part is designing a multi-qubit consensus protocol that statistically suppresses decoherence and gate errors better than established baselines without falling prey to classical correlation limits.
Discussion
8 comments analyzed.
Competitors mentioned: Surface coding (2D planar QEC), Standard QEC protocols, IBM Torino/Heron hardware native approaches
Concerns raised: Gate error rates (~2%) exceed standard QEC thresholds, Scalability limits on current NISQ-era flat chips, Lattice packing density and CNOT star constraints unclear, Unclear if approach generalizes to optical qudits
Feature requests: 3D star topologies with layer coding and inter-layer vias, Snowflake/crystal lattice designs for improved error-freedom, Vortically curved trace arms for enhanced stability, Protocol extension to optical qudits and beyond planar hardware
Competitors
Other products that read as similar to this one — 157 launches clear the similarity bar, closest 8 shown.
Attention rank: #143 of 158 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 62 days after the earliest competitor.
- Qumulator · hn · 2026-04-27 · 14 upvotes · similarity 0.54
- genpark-quantum-qubit-state-vector-simulator-skill · github · 2026-09-28 · 7 upvotes · similarity 0.52
- Coda — Natural language quantum computing · yc · 2026-01-21 · 10 upvotes · similarity 0.50
- Bitcoin and Quantum Computing · hn · 2026-04-11 · 6 upvotes · similarity 0.47
- I built an 11-LLM consensus engine to detect AI hallucination · hn · 2026-06-19 · 6 upvotes · similarity 0.44
- Open-source distributed quantum compute network · hn · 2026-04-02 · 11 upvotes · similarity 0.44
- genpark-quantum-teleportation-entanglement-protocol-skill · github · 2026-09-28 · 7 upvotes · similarity 0.43
- openqarp · github · 2026-09-14 · 49 upvotes · similarity 0.42
Other launches for this product
Same idea, different domain
Nobody's really built a model & infra tool for Fintech yet.