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feat: qectorlab brand unification in hero and descriptions
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source/src/pages/Home.tsx

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@@ -112,7 +112,7 @@ export default function Home() {
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className="inline-flex items-center gap-2 px-4 py-2 bg-surface/80 border border-gridline rounded-full text-sm text-secondary hover:text-cyan-300 hover:border-cyan-300/30 transition-all mb-8 backdrop-blur-sm"
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>
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<span className="w-2 h-2 rounded-full bg-green-400 animate-pulse-dot" />
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<span>QECTOR Decoder v{pypiVersion} (Source-Available, not free) · New Free Workbench</span>
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<span>QECTOR Decoder v{pypiVersion} (Source-Available, not free) under qectorlab · New Free Workbench</span>
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<span className="opacity-50 ml-1">· Changelog →</span>
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</Link>
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@@ -128,7 +128,7 @@ export default function Home() {
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{/* Subheadline */}
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<p className="text-lg md:text-xl text-secondary max-w-3xl mx-auto mb-10 leading-relaxed" style={{ textShadow: '0 2px 12px rgba(0,0,0,0.8)' }}>
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Python library for quantum error correction decoding. Exact MWPM parity with PyMatching through d=15.{' '}
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QECTOR Decoder v3 under the qectorlab brand. Exact MWPM parity with PyMatching through d=15.{' '}
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<strong className="text-primary">+35.7% LER reduction</strong> with Belief-Matching at d=5.
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GPU batch decoding included. All claims are simulation-validated with reproducible artifacts on GitHub.
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</p>
@@ -202,7 +202,7 @@ export default function Home() {
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<div ref={(el) => addRef(el, 1)}>
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<SectionHeader
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heading={<NeuralReveal text="Platform" className="text-3xl md:text-4xl font-bold" />}
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description="QEC decoding is not one-size-fits-all. Surface codes, qLDPC codes, and real-time vs. batch workloads need different decoders. QECTOR gives you all of them in one Python library with a consistent API."
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description="QEC decoding is not one-size-fits-all. Surface codes, qLDPC codes, and real-time vs. batch workloads need different decoders. QECTOR Decoder v3 under qectorlab gives you all of them in one Python library with a consistent API."
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/>
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</div>
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