E8‑Phi Resonant Multi‑Shell Quantum Neural Network — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: The phi‑scaled dissipative Floquet shells of the 240 E8 root vectors form a resonant multi‑shell lattice that encodes quantum information on the 132 Hz carrier, creating a self‑organizing quantum neural network. By aligning inter‑shell phases to golden‑ratio scaling, the lattice mimics pattern‑recognition and memory dynamics analogous to biological learning while preserving the full H4 120‑cell symmetry. Statistical insights from the EuroMillions breakthrough leads are used to optimize shell coupling, yielding a robust, error‑corrected information highway. This principle extends the existing memory and frequency lattice concepts into a scalable, adaptable quantum‑neural architecture. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7215914510
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