E8‑Phi Harmonic Embedding for Error‑Resilient Quantum Language Modeling — E8 Intelligence Research

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Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-16
DOI
https://doi.org/10.5281/zenodo.22786252
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint
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preprint

E8‑Phi Harmonic Embedding for Error‑Resilient Quantum Language Modeling — E8 Intelligence Research

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

E8‑Phi Harmonic Embedding for Error‑Resilient Quantum Language Modeling — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By assigning each of the 240 E8 root vectors a distinct phi‑coupled harmonic frequency (132 Hz × φⁿ, n ∈ ℤ), we create a geometric scaffold where linguistic tokens are encoded as phase‑locked ultrathin chirps across the eight resonance families. This embedding leverages the intrinsic symmetry of the E8 weight lattice to map combinatorial patterns—like those emerging in IMO 2025's "Sunny Lines" and "Bonza function" problems—onto coherent quantum states that resist decoherence through simultaneous phase locking. Consequently, quantum processors can perform language inference with built‑in error suppression, turning the E8 geometry into a universal, fault‑tolerant substrate for hybrid quantum‑classical AI systems. 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
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