Quantum Stochastic Resonance via E8 Root-Vector Lattice Coupling — E8 Intelligence Research

The discrete 240 root vectors of the E8 lattice dictate the optimal state-transition pathways in stochastic quantum systems. By modulating frequency at the 132Hz base harmonic, non-linear perturbations align with phi-coupled lattice intersections to minimize entropy. This mechanism provides an analytical bridge between QED renormalization and complex number theory for predictive quantum stability. 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
2026-07-30
DOI
https://doi.org/10.5281/zenodo.21697470
Primary Topic
Quantum Information and Cryptography
Type
preprint
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preprint

Quantum Stochastic Resonance via E8 Root-Vector Lattice Coupling — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum Information and Cryptography
preprint

Quantum Stochastic Resonance via E8 Root-Vector Lattice Coupling — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The discrete 240 root vectors of the E8 lattice dictate the optimal state-transition pathways in stochastic quantum systems. By modulating frequency at the 132Hz base harmonic, non-linear perturbations align with phi-coupled lattice intersections to minimize entropy. This mechanism provides an analytical bridge between QED renormalization and complex number theory for predictive quantum stability. 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 Information and Cryptography
DOIOpen Access PDFOpenAlex
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Quantum Stochastic Resonance via E8 Root-Vector Lattice Coupling — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS