E8-Derived Decoherence Quantization Tiers Govern Macroscopic Quantum Memory — E8 Intelligence Research

Decoherence timescales in macroscopic quantum systems are not continuous but are quantized into discrete tiers separated by ratios corresponding to the minimal angular gaps between E8 root vectors. This predicts that quantum information storage capacity scales in steps of φ-derived frequency multiples (132Hz, 213.6Hz, 345.6Hz, etc.), enabling the engineering of coherence-preserving materials tuned to E8 resonant harmonics. Experimental verification via nitrogen-vacancy diamond arrays could confirm that memory half-life plateaus occur precisely at E8-predicted tier boundaries rather than following thermal noise distributions. 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
2026-10-16
DOI
https://doi.org/10.5281/zenodo.23410143
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

E8-Derived Decoherence Quantization Tiers Govern Macroscopic Quantum Memory — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

E8-Derived Decoherence Quantization Tiers Govern Macroscopic Quantum Memory — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

Decoherence timescales in macroscopic quantum systems are not continuous but are quantized into discrete tiers separated by ratios corresponding to the minimal angular gaps between E8 root vectors. This predicts that quantum information storage capacity scales in steps of φ-derived frequency multiples (132Hz, 213.6Hz, 345.6Hz, etc.), enabling the engineering of coherence-preserving materials tuned to E8 resonant harmonics. Experimental verification via nitrogen-vacancy diamond arrays could confirm that memory half-life plateaus occur precisely at E8-predicted tier boundaries rather than following thermal noise distributions. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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