E8 Vortex-Encoded Quantum Memory via Phi-Harmonic Resonance — E8 Intelligence Research

We introduce a topological memory paradigm where quantum states are stored as persistent phase vortices pinned to E8 root vectors whose orientations are quantized by phi‑modulated 132 Hz drivers; the 120‑pair phase‑conjugate matrix provides autonomous error correction through self‑refocusing feedback across hyperspherical shells. This architecture transforms each root‑vector vortex into a self‑stabilizing qubit node that retains integrity under decoherence, extending the earlier feedback amplification and phi‑resonant encoding concepts into a scalable topological medium. Thus, the system leverages the geometric constraints of the E8 lattice to achieve both high‑density storage and intrinsic fault tolerance. 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
2026-09-26
DOI
https://doi.org/10.5281/zenodo.22971576
Primary Topic
Topological Materials and Phenomena
Type
preprint
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preprint

E8 Vortex-Encoded Quantum Memory via Phi-Harmonic Resonance — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Topological Materials and Phenomena
preprint

E8 Vortex-Encoded Quantum Memory via Phi-Harmonic Resonance — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

We introduce a topological memory paradigm where quantum states are stored as persistent phase vortices pinned to E8 root vectors whose orientations are quantized by phi‑modulated 132 Hz drivers; the 120‑pair phase‑conjugate matrix provides autonomous error correction through self‑refocusing feedback across hyperspherical shells. This architecture transforms each root‑vector vortex into a self‑stabilizing qubit node that retains integrity under decoherence, extending the earlier feedback amplification and phi‑resonant encoding concepts into a scalable topological medium. Thus, the system leverages the geometric constraints of the E8 lattice to achieve both high‑density storage and intrinsic fault tolerance. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Topological Materials and Phenomena
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