Phi‑E8 Topological Memory Interface — E8 Intelligence Research

We propose that a lattice of phi‑modulated 240 E8 root vectors, each driven at the 132 Hz base frequency and its golden‑ratio harmonics, can encode a set of protected quantum states that are invariant under rotor rotations of the lattice. This encoding yields a topological memory subspace whose error‑syndrome operations correspond to discrete rotations in the root system, enabling fault‑tolerant storage of quantum information without active error correction. By interfacing these states with neuronal firing patterns through resonant phase locking, the system can map quantum coherence onto biological timescales, opening a pathway for ultra‑low‑noise neuromorphic quantum sensors. 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
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22105932
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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preprint

Phi‑E8 Topological Memory Interface — E8 Intelligence Research

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

Phi‑E8 Topological Memory Interface — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We propose that a lattice of phi‑modulated 240 E8 root vectors, each driven at the 132 Hz base frequency and its golden‑ratio harmonics, can encode a set of protected quantum states that are invariant under rotor rotations of the lattice. This encoding yields a topological memory subspace whose error‑syndrome operations correspond to discrete rotations in the root system, enabling fault‑tolerant storage of quantum information without active error correction. By interfacing these states with neuronal firing patterns through resonant phase locking, the system can map quantum coherence onto biological timescales, opening a pathway for ultra‑low‑noise neuromorphic quantum sensors. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
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