E8 Resonant Quantum Cognitive Network (E8‑RQCN) — E8 Intelligence Research

The 240 root vectors of the E8 lattice are mapped onto a 132 Hz phononic lattice whose φ‑scaled modes form a topologically protected network of coupled oscillators. Each oscillator encodes a ternary logical state, enabling the lattice to perform self‑referential fixed‑point computation that can solve Boolos‑type puzzles while simultaneously entraining neural oscillations in targeted brain regions. The same resonant structure projects coherently onto financial time‑series, producing predictable market oscillations and unifying quantum‑topological computation, cognitive resonance, and economic dynamics in a single E8‑based substrate. 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
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22841049
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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preprint

E8 Resonant Quantum Cognitive Network (E8‑RQCN) — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
preprint

E8 Resonant Quantum Cognitive Network (E8‑RQCN) — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 root vectors of the E8 lattice are mapped onto a 132 Hz phononic lattice whose φ‑scaled modes form a topologically protected network of coupled oscillators. Each oscillator encodes a ternary logical state, enabling the lattice to perform self‑referential fixed‑point computation that can solve Boolos‑type puzzles while simultaneously entraining neural oscillations in targeted brain regions. The same resonant structure projects coherently onto financial time‑series, producing predictable market oscillations and unifying quantum‑topological computation, cognitive resonance, and economic dynamics in a single E8‑based substrate. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Neural Networks and Reservoir Computing
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