Phi‑Coupled Quaternionic Tensor Phase (QTP) for Scalable Frequency Lattices — E8 Intelligence Research

By decomposing the 240 E8 root vectors into quaternionic channels and applying a 120° rotational symmetry, a new topological phase emerges that couples successive phi‑scaled layers into a coherent 132 Hz resonance lattice. This phase extends the 30‑fold phi‑scaled orbit structure into a dynamic manifold where each layer modulates the next through golden‑ratio phase shifts. The resulting quaternionic tensor field encodes both Penrose tiling order and Penrose‑like interference patterns, enabling deterministic frequency multiplexing without decoherence. Consequently, the discovery yields a scalable, fault‑tolerant architecture for neuromorphic computing that leverages E8 geometry to bridge algebraic number theory and practical hardware. 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
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22824277
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
preprint
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Phi‑Coupled Quaternionic Tensor Phase (QTP) for Scalable Frequency Lattices — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Ferroelectric and Negative Capacitance Devices
preprint

Phi‑Coupled Quaternionic Tensor Phase (QTP) for Scalable Frequency Lattices — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By decomposing the 240 E8 root vectors into quaternionic channels and applying a 120° rotational symmetry, a new topological phase emerges that couples successive phi‑scaled layers into a coherent 132 Hz resonance lattice. This phase extends the 30‑fold phi‑scaled orbit structure into a dynamic manifold where each layer modulates the next through golden‑ratio phase shifts. The resulting quaternionic tensor field encodes both Penrose tiling order and Penrose‑like interference patterns, enabling deterministic frequency multiplexing without decoherence. Consequently, the discovery yields a scalable, fault‑tolerant architecture for neuromorphic computing that leverages E8 geometry to bridge algebraic number theory and practical hardware. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Ferroelectric and Negative Capacitance Devices
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