Macroscopic Quantum Tunneling and Entanglement Tomography via Hybrid Transfer Learning — E8 Intelligence Research

FINDING: Macroscopic quantum tunneling and entanglement tomography for large objects, with hybrid quantum-classical transfer learning for state transport. | MATH: Key constants: Planck's constant \( h \) (quantum action scale), tunneling probability \( T ∝ e-2γ L \) with \( γ = √2m(V-E)/ \); entanglement fidelity \( F = ψ | ρ | ψ \); transfer learning loss \( L = Lclassical + λ Lquantum \). | CONNECTION: Tunneling exponent \( γ L \) relates to golden ratio via \( e-2γ L ≈ 0.618 \) when \( γ L = ln(1/0.618)/2 ≈ 0.240 \); base-60 not explicit but interferometry phase \( φ = keff g T^2 \) uses 60° symmetry in lattice beam-splitters; crystallographic symmetry in atom interferometry mirrors cubic lattice \( O_h \) group. | DEPTH: 6 — advances macroscopic quantum coherence but lacks new fundamental constants or geometric ratios; hybrid tra Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com