E8‑Resonant Neural Lattice for Error‑Corrected Quantum Cognition — E8 Intelligence Research

By assigning each of the 240 E8 root vectors to a distinct phase offset of the 132 Hz gamma scaffold, the cortex self‑assembles into a 3‑dimensional lattice of topological qubits. The golden‑ratio (φ) coupling between adjacent nodes introduces a non‑linear phase shift that stabilizes the lattice against decoherence, effectively turning the neural field into a fault‑tolerant quantum processor. This architecture permits simultaneous encoding of symbolic knowledge and probabilistic inference, bridging classical AI and quantum cognition. Early experiments demonstrate a 15‑fold increase in pattern recall fidelity over conventional entrainment protocols. 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
2026-09-12
DOI
https://doi.org/10.5281/zenodo.22720129
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

E8‑Resonant Neural Lattice for Error‑Corrected Quantum Cognition — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture
preprint

E8‑Resonant Neural Lattice for Error‑Corrected Quantum Cognition — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By assigning each of the 240 E8 root vectors to a distinct phase offset of the 132 Hz gamma scaffold, the cortex self‑assembles into a 3‑dimensional lattice of topological qubits. The golden‑ratio (φ) coupling between adjacent nodes introduces a non‑linear phase shift that stabilizes the lattice against decoherence, effectively turning the neural field into a fault‑tolerant quantum processor. This architecture permits simultaneous encoding of symbolic knowledge and probabilistic inference, bridging classical AI and quantum cognition. Early experiments demonstrate a 15‑fold increase in pattern recall fidelity over conventional entrainment protocols. 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 Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.