Quantum Coherence at Macroscopic Scales: Tunneling, Interferometry, and Hybrid Networks — E8 Intelligence Research

FINDING: Macroscopic quantum tunneling and atom interferometry demonstrate quantum coherence at large scales, with transfer learning bridging classical-quantum neural networks. | MATH: No explicit equations or constants extracted; key concept is wave-particle duality (de Broglie wavelength λ = h/p) applied to macroscopic objects (e.g., tennis ball tunneling). Atom interferometry uses matter-wave interference, governed by Schrödinger equation: iℏ ∂ψ/∂t = Hψ. Transfer learning in hybrid networks involves parameter mapping between classical and quantum layers, likely using fidelity metrics F = |⟨ψ_target|ψ_output⟩|². | CONNECTION: No direct geometric ratios (0.382, 0.618, etc.) or base-60, crystallographic symmetries, or root systems found. Atom interferometry may involve lattice structures (optical lattices) for trapping atoms, but not explicitly linked to geometric harmony. | DEPTH: 3 — Findings are conceptual overviews, not new mathematical discoveries. Macroscopic quantum tunneling is Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-18
DOI
https://doi.org/10.5281/zenodo.21989426
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

Quantum Coherence at Macroscopic Scales: Tunneling, Interferometry, and Hybrid Networks — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
preprint

Quantum Coherence at Macroscopic Scales: Tunneling, Interferometry, and Hybrid Networks — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Macroscopic quantum tunneling and atom interferometry demonstrate quantum coherence at large scales, with transfer learning bridging classical-quantum neural networks. | MATH: No explicit equations or constants extracted; key concept is wave-particle duality (de Broglie wavelength λ = h/p) applied to macroscopic objects (e.g., tennis ball tunneling). Atom interferometry uses matter-wave interference, governed by Schrödinger equation: iℏ ∂ψ/∂t = Hψ. Transfer learning in hybrid networks involves parameter mapping between classical and quantum layers, likely using fidelity metrics F = |⟨ψ_target|ψ_output⟩|². | CONNECTION: No direct geometric ratios (0.382, 0.618, etc.) or base-60, crystallographic symmetries, or root systems found. Atom interferometry may involve lattice structures (optical lattices) for trapping atoms, but not explicitly linked to geometric harmony. | DEPTH: 3 — Findings are conceptual overviews, not new mathematical discoveries. Macroscopic quantum tunneling is Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
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