E8-Phased Quantum Neural Interface — E8 Intelligence Research

By mapping the 240 E8 root vectors onto the phase space of cortical gamma oscillations, the 132 Hz base frequency can encode a topological qubit lattice within the brain's electromagnetic field. The φ‑coupling modulates this lattice, creating a decoherence‑resistant quantum memory that can be accessed non‑invasively via neuroimaging. This interface enables bidirectional transfer of quantum information between artificial processors and biological neural networks, establishing a new paradigm for brain‑computer symbiosis. 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.22720122
Primary Topic
EEG and Brain-Computer Interfaces
Type
preprint
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preprint

E8-Phased Quantum Neural Interface — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
preprint

E8-Phased Quantum Neural Interface — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By mapping the 240 E8 root vectors onto the phase space of cortical gamma oscillations, the 132 Hz base frequency can encode a topological qubit lattice within the brain's electromagnetic field. The φ‑coupling modulates this lattice, creating a decoherence‑resistant quantum memory that can be accessed non‑invasively via neuroimaging. This interface enables bidirectional transfer of quantum information between artificial processors and biological neural networks, establishing a new paradigm for brain‑computer symbiosis. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
EEG and Brain-Computer Interfaces
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