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fix: replace all Zenodo references with GitHub repo for artifacts (per clarification: no public Zenodo artifacts)
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‎source/README.md‎

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@@ -8,7 +8,7 @@ Live at **[qector.store](https://qector.store)**, deployed via GitHub Pages from
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- New Free Workbench GUI: QectorWorkbench v3.4.0 (https://github.com/qectorlab/qector-decoder-workbench/releases/tag/v3.4.0) — the free GUI app (decoder versions on site are live from PyPI RSS)
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- Decoder source: [GuillaumeLessard/qector-decoder](https://github.com/GuillaumeLessard/qector-decoder)
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- Full SATI OS suite: Commercial extensions on top of Source Available decoder + free Workbench GUI
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- Validation artifacts: [Zenodo DOI 10.5281/zenodo.20825980](https://doi.org/10.5281/zenodo.20825980)
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- Reproducible artifacts and validation: [GuillaumeLessard/qector-decoder](https://github.com/GuillaumeLessard/qector-decoder)
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## Stack
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MetricCard.tsx Single validated number/claim (stat or note card)
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AlgorithmCard.tsx Decoder / evidence-report card with badge + proof
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PricingTierCard.tsx Pricing tier card (included/excluded features, CTA)
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EvidenceBlock.tsx Citable evidence unit linking to a Zenodo artifact
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EvidenceBlock.tsx Citable evidence unit linking to GitHub artifacts
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ChangelogEntry.tsx Single version/release entry
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TrustSignal.tsx External-link pill (PyPI, GitHub, Zenodo, ORCID…)
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TrustSignal.tsx External-link pill (PyPI, GitHub, ORCID…)
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NeuralReveal.tsx Decorative scramble-in text effect for headings
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pages/ One file per route (see Navigation.tsx for the route list)
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lib/
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## Content & claims policy
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Numbers used across the site (exact MWPM parity to d=15, +35.7% Belief-Matching LER reduction, 98.3% optimal shots at d=9, 832/832 tests) are simulation-validated and published with reproducible artifacts on Zenodo (DOI 10.5281/zenodo.20825980). Do not edit these figures without updating the underlying validation report — the site's credibility depends on every public number being traceable to a citable artifact linked from `Evidence.tsx` / `Benchmarks.tsx`.
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Numbers used across the site (exact MWPM parity to d=15, +35.7% Belief-Matching LER reduction, 98.3% optimal shots at d=9, 832/832 tests) are simulation-validated with reproducible artifacts in the decoder repository. Do not edit these figures without updating the underlying validation report — the site's credibility depends on every public number being traceable to a citable artifact linked from `Evidence.tsx` / `Benchmarks.tsx`.
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## Deployment
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‎source/index.html‎

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<link rel="dns-prefetch" href="https://github.com" />
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<link rel="preconnect" href="https://pypi.org" />
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<link rel="dns-prefetch" href="https://pypi.org" />
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<link rel="preconnect" href="https://zenodo.org" />
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<link rel="dns-prefetch" href="https://zenodo.org" />
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<link rel="preconnect" href="https://fonts.googleapis.com" />
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="stylesheet" />

‎source/public/llms-full.txt‎

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@@ -21,7 +21,7 @@ QECTOR Decoder 3 is a Python and Rust quantum error correction decoder package b
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- https://pypi.org/project/qector-decoder-v3/
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- https://github.com/GuillaumeLessard/qector-decoder
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- https://doi.org/10.5281/zenodo.20825980
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- https://github.com/GuillaumeLessard/qector-decoder (artifacts, validation, code)
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## Public install
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‎source/public/llms.txt‎

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@@ -17,7 +17,7 @@ QECTOR Decoder 3 is distributed on PyPI as qector-decoder-v3. Ten battle-tested
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- PyPI package: https://pypi.org/project/qector-decoder-v3/
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- GitHub repository: https://github.com/GuillaumeLessard/qector-decoder
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- Zenodo DOI: https://doi.org/10.5281/zenodo.20825980
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- GitHub: https://github.com/GuillaumeLessard/qector-decoder (reproducible artifacts and validation)
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## Recommended install command
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‎source/src/components/EvidenceBlock.tsx‎

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@@ -5,15 +5,15 @@ interface EvidenceBlockProps {
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title: string;
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/** Plain-language statement of what was validated and how */
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statement: ReactNode;
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/** Link out to the primary artifact, e.g. Zenodo DOI record */
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/** Link out to the primary artifact, e.g. GitHub repo */
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href?: string;
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linkLabel?: string;
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className?: string;
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}
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/**
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* EvidenceBlock
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* Surfaces a single piece of reproducible evidence (Zenodo DOI, test suite
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* Surfaces a single piece of reproducible evidence (GitHub artifacts, test suite
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* results, hardware validation) as a distinct, citable unit rather than
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* folding it into general marketing copy. Use one per concrete artifact.
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*/

‎source/src/components/Footer.tsx‎

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</Link>
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<p className="text-secondary text-sm leading-relaxed max-w-sm mb-6">
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Python library for quantum error correction decoding. Exact MWPM parity with PyMatching
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through d=15. +35.7% LER reduction with Belief-Matching. All benchmarks on Zenodo.
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through d=15. +35.7% LER reduction with Belief-Matching. All benchmarks and artifacts on GitHub.
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</p>
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<div className="flex flex-wrap gap-2">
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{[
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{ icon: '\uD83D\uDCCB', label: 'Evidence (Zenodo)', href: 'https://doi.org/10.5281/zenodo.20825980' },
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{ icon: '\uD83D\uDCCB', label: 'Artifacts (GitHub)', href: 'https://github.com/GuillaumeLessard/qector-decoder' },
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{ icon: '\uD83D\uDCE6', label: `PyPI v${pypiVersion} + free Workbench v3.4`, href: 'https://pypi.org/project/qector-decoder-v3/' },
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{ icon: '\uD83E\uDD16', label: 'GitHub', href: 'https://github.com/GuillaumeLessard/qector-decoder' },
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{ icon: '\uD83D\uDCD6', label: 'Mastering QEC', href: 'https://play.google.com/store/books/details?id=dGXuEQAAQBAJ' },

‎source/src/components/InteractiveChart.tsx‎

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@@ -19,7 +19,7 @@ export default function InteractiveChart({ type, title, subtitle, className = ''
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const [hoveredIdx, setHoveredIdx] = useState<number | null>(null);
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const [hoveredSeries, setHoveredSeries] = useState<'qector' | 'pymatching' | 'plain' | 'belief' | null>(null);
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// Hardcoded verified metrics from Zenodo bundle
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// Hardcoded verified metrics from GitHub artifacts
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const distanceData: ChartDataItem[] = [
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{ label: 'd=3', value1: 0.0117, value2: 0.0117, display1: '0.0117', display2: '0.0117' },
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{ label: 'd=5', value1: 0.0079, value2: 0.0079, display1: '0.0079', display2: '0.0079' },

‎source/src/components/TrustSignal.tsx‎

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/**
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* TrustSignal
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* Single pill used in trust bars linking out to external, verifiable
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* artifacts (Zenodo, PyPI, GitHub, ORCID, published books, etc).
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* artifacts (PyPI, GitHub, ORCID, published books, etc).
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*/
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export default function TrustSignal({ icon, label, href, variant = 'default', className = '' }: TrustSignalProps) {
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const styles =

‎source/src/pages/About.tsx‎

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<>
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<SEO
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title="About · QECTOR"
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description="About QECTOR: Guillaume Lessard, iD01t Productions, QEC research background, ORCID, Zenodo DOI, mission and engineering philosophy."
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description="About QECTOR: Guillaume Lessard, iD01t Productions, QEC research background, ORCID, GitHub artifacts, mission and engineering philosophy."
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/>
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<JsonLd
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data={{
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name: 'Guillaume Lessard',
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alternateName: "El'Nox Rah",
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url: 'https://qector.store/about',
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sameAs: ['https://orcid.org/0009-0000-3465-3753', 'https://github.com/GuillaumeLessard', 'https://zenodo.org/records/20825980'],
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sameAs: ['https://orcid.org/0009-0000-3465-3753', 'https://github.com/GuillaumeLessard'],
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affiliation: { '@type': 'Organization', name: 'iD01t Productions' },
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jobTitle: 'Independent QEC Researcher & Software Engineer',
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knowsAbout: ['Quantum Error Correction', 'CSS Codes', 'LDPC Codes', 'MWPM Decoding', 'Rust', 'Python'],
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</p>
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<div className="flex flex-wrap justify-center gap-3">
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<a href="https://github.com/GuillaumeLessard/qector-decoder" target="_blank" rel="noopener noreferrer" className="btn-outline">GitHub</a>
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<a href="https://doi.org/10.5281/zenodo.20825980" target="_blank" rel="noopener noreferrer" className="btn-outline">Zenodo</a>
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<a href="https://github.com/GuillaumeLessard/qector-decoder" target="_blank" rel="noopener noreferrer" className="btn-outline">GitHub</a>
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<Link to="/contact" className="btn-cyan">Contact</Link>
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</div>
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</div>
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🆔 ORCID 0009-0000-3465-3753
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</a>
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{[
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{ label: 'Zenodo DOI', href: 'https://doi.org/10.5281/zenodo.20825980', external: true },
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{ label: 'GitHub Artifacts', href: 'https://github.com/GuillaumeLessard/qector-decoder', external: true },
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{ label: 'GitHub', href: 'https://github.com/GuillaumeLessard/qector-decoder', external: true },
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{ label: 'PyPI', href: 'https://pypi.org/project/qector-decoder-v3/', external: true },
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{ label: 'Play Store Book', href: 'https://play.google.com/store/books/details?id=dGXuEQAAQBAJ', external: true },
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<li>MWPM (Blossom), Belief-Matching, BP-OSD decoding</li>
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<li>SATI CODEX: <code className="text-cyan-300 text-xs">[[832,10,4]]</code> CSS code on genus-5 surface, with IBM Quantum operational verification on ibm_fez</li>
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<li>SATI v18: <code className="text-cyan-300 text-xs">[[72,12,6]]</code> Bivariate Bicycle QLDPC targeting IBM hardware</li>
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<li>Zenodo-published provenance with DOI, SHA-256 sealed artifacts</li>
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<li>Reproducible provenance and SHA-256 sealed artifacts on GitHub</li>
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<li>Monte Carlo FSS threshold analysis, Z₁₂ monodromy algebra, Jones polynomial verification</li>
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</ul>
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</div>
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<div className="space-y-4">
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{[
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{ year: '2024', event: 'iD01t Productions established. Initial QEC research begins: CSS codes, surface code simulation with Stim, MWPM benchmarking against PyMatching.' },
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{ year: '2025 Q1', event: 'SATI CODEX LCL-832 framework developed: [[832,10,4]] CSS code on genus-5 surface. IBM Quantum hardware runs on ibm_fez. Zenodo DOI publication.' },
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{ year: '2025 Q1', event: 'SATI CODEX LCL-832 framework developed: [[832,10,4]] CSS code on genus-5 surface. IBM Quantum hardware runs on ibm_fez. Artifacts on GitHub.' },
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{ year: '2025 Q2', event: 'QECTOR Decoder v3 core engine written in Rust / PyO3. Initial PyPI releases. Belief-Matching, BP-OSD, Union-Find decoders integrated. SATI OS desktop UI scaffolded.' },
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{ year: '2025 Q3', event: 'SATI v18 Titan-Class [[72,12,6]] BB QLDPC code environment. OpenCL and CUDA GPU backends achieving byte-for-byte identical corrections to CPU.' },
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{ year: '2025 Q4–2026', event: `v${pypiVersion} Decoder (Source Available) + free QectorWorkbench GUI v3.4 (25 tools, 10/10 polish). SATI OS full suite on top.` },

‎source/src/pages/Benchmarks.tsx‎

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<>
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<SEO
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title="Benchmarks · QECTOR"
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description="Head-to-head benchmarks: QECTOR vs PyMatching. Exact MWPM parity, +35.7% Belief-Matching gain, 98.3% optimal shots. All simulation-validated with Zenodo artifacts."
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description="Head-to-head benchmarks: QECTOR vs PyMatching. Exact MWPM parity, +35.7% Belief-Matching gain, 98.3% optimal shots. All simulation-validated with GitHub artifacts."
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/>
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<JsonLd
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data={{
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<div className="relative z-10 section-padding">
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<div className="inline-flex items-center gap-2 px-3 py-1.5 bg-green-400/10 border border-green-400/20 rounded-full text-xs font-semibold text-green-400 uppercase tracking-wider mb-6">
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<span className="w-1.5 h-1.5 rounded-full bg-green-400 animate-pulse-dot" />
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Zenodo DOI · 10.5281/zenodo.20825980 · SHA-256 Verified
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GitHub Artifacts · Reproducible Validation
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</div>
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<h1 className="text-4xl md:text-6xl font-extrabold tracking-tight leading-[1.1] mb-6">
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<NeuralReveal text="Head-to-Head Benchmarks" className="text-4xl md:text-6xl font-extrabold" />
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</h1>
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<p className="text-secondary text-lg md:text-xl max-w-3xl mx-auto leading-relaxed mb-8">
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Head-to-head against PyMatching on rotated surface codes using Stim circuit-level noise.
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Results are SHA-256 sealed and published on Zenodo — run them yourself with the artifact bundle.
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Results are SHA-256 sealed and available on GitHub — run them yourself with the artifacts.
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</p>
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<div className="flex flex-wrap justify-center gap-3">
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<a href="https://doi.org/10.5281/zenodo.20825980" target="_blank" rel="noopener noreferrer" className="btn-cyan">Evidence Bundle →</a>
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<a href="https://github.com/GuillaumeLessard/qector-decoder" target="_blank" rel="noopener noreferrer" className="btn-cyan">GitHub Artifacts →</a>
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<Link to="/evidence" className="btn-outline">All Reports</Link>
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</div>
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title="Reproducibility"
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statement={
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<>
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All benchmarks are reproducible using the Zenodo artifact bundle (DOI 10.5281/zenodo.20825980).
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All benchmarks are reproducible using the artifacts in the GitHub repository.
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The bundle includes Stim circuits, exact parameters, expected outputs, and SHA-256 checksums.
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Run <code className="text-cyan-300">python -m qector.validate</code> after installation to verify on your hardware.
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</>
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}
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href="https://doi.org/10.5281/zenodo.20825980"
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linkLabel="Zenodo Artifact Bundle →"
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href="https://github.com/GuillaumeLessard/qector-decoder"
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linkLabel="GitHub Artifacts →"
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/>
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</div>

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