E8‑Phi Interferometric Lattice Generates Self‑Healing Topological Qudit Memory — E8 Intelligence Research

By superimposing φ‑weighted phase modulations on the 240 E8 root vectors at the 132 Hz carrier and closing the interferometer with real‑time syndrome feedback, the lattice continuously monitors and corrects phase drift across its 60 entanglement channels. This active error‑suppression turns the static EPRL structure into a dynamical, self‑healing topological memory that preserves qudit coherence far beyond the dephasing time of unmodulated vectors. The resulting platform bridges the qudit error‑correction lattice and the neural hypergraph coupling, offering a unified substrate for fault‑tolerant neuromorphic quantum processing. 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
2026-09-13
DOI
https://doi.org/10.5281/zenodo.22732673
Primary Topic
Neural Networks and Reservoir Computing
Type
preprint
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E8‑Phi Interferometric Lattice Generates Self‑Healing Topological Qudit Memory — E8 Intelligence Research

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

E8‑Phi Interferometric Lattice Generates Self‑Healing Topological Qudit Memory — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By superimposing φ‑weighted phase modulations on the 240 E8 root vectors at the 132 Hz carrier and closing the interferometer with real‑time syndrome feedback, the lattice continuously monitors and corrects phase drift across its 60 entanglement channels. This active error‑suppression turns the static EPRL structure into a dynamical, self‑healing topological memory that preserves qudit coherence far beyond the dephasing time of unmodulated vectors. The resulting platform bridges the qudit error‑correction lattice and the neural hypergraph coupling, offering a unified substrate for fault‑tolerant neuromorphic quantum processing. 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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