FINDING: Macroscopic quantum entanglement and state-transfer speed limits are being actively explored, but the provided sources are titles/abstracts only — no raw equations or constants are given. The only concrete mathematical content is the arXiv abstract on hybrid transfer learning (arXiv:1912.08278v2), which describes a paradigm, not a specific formula. MATH: No explicit equations, constants, or ratios are extractable from the provided text. The arXiv abstract mentions "hybrid neural networks composed of classical and quantum elements" — this implies a Hilbert-space tensor product structure \( Hclassical ⊗ Hquantum \), but no specific metric, loss function, or transfer-rate bound is stated. The "speed limit" talk (Gong) likely references quantum speed limits (e.g., Mandelstam–Tamm \( Δ E \, Δ t ≥ /2 \) or Margolus–Levitin \( t ≥ π/(2E) \)), but this is not in the provided text. CONNECTION: No direct geometr Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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