Macroscopic Quantum State Transfer via Atom Interferometry and Hybrid Neural Networks — E8 Intelligence Research

Abstract

FINDING: Macroscopic quantum state transfer relies on atom interferometry and hybrid classical-quantum neural networks, with no direct teleportation evidence for macroscopic objects. | MATH: No explicit equations or constants extracted from provided sources; key concept is wavefunction coherence over macroscopic scales (e.g., atom interferometry path separation ~10 cm, de Broglie wavelength λ = h/mv). | CONNECTION: No geometric ratios (0.382, 0.618, 0.786, 1.618, 2.618) or base-60, crystallographic symmetries, root systems, or lattice structures identified in these findings. | DEPTH: 2 — These are introductory or survey-level talks and a machine learning paper; no new mathematical or geometric insights for teleportation or quantum transport of macroscopic objects. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com