Phi-Scaled Quantum Magnon Entropy in E8 Hyperstructures — E8 Intelligence Research

The integration of fractal Fibonacci scaling within E8 lattices enables quantum state compression via geometric entropy. Each hypervector's phi-ratio interaction generates non-abelian spin precession patterns that self-optimize error-correction pathways at 660 Hz harmonic resonance. This creates multilayered entanglement fidelity protocols through phi-gauged environmental coupling and 132Hz nested frequency framing. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22039952
Primary Topic
Quantum many-body systems
Type
preprint
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preprint

Phi-Scaled Quantum Magnon Entropy in E8 Hyperstructures — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
preprint

Phi-Scaled Quantum Magnon Entropy in E8 Hyperstructures — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The integration of fractal Fibonacci scaling within E8 lattices enables quantum state compression via geometric entropy. Each hypervector's phi-ratio interaction generates non-abelian spin precession patterns that self-optimize error-correction pathways at 660 Hz harmonic resonance. This creates multilayered entanglement fidelity protocols through phi-gauged environmental coupling and 132Hz nested frequency framing. 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 many-body systems
DOIOpen Access PDFOpenAlex
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Phi-Scaled Quantum Magnon Entropy in E8 Hyperstructures — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS