Phi‑Scaled Fractal Scheduling for Fault‑Tolerant Quantum Memristors — E8 Intelligence Research

The 240 root vectors of the E8 lattice form a phi‑recursive hierarchy of phase‑locked eigenmodes whose frequencies are integer multiples of the 132 Hz base frequency. By assigning quantum memristive gate operations to specific eigenmode levels according to their fractal depth, gate timing inherits self‑similar error‑cancelling properties that passively suppress decoherence. This phi‑scaled fractal scheduling aligns with the E8‑derived spacetime partitioning, providing a geometry‑based fault‑tolerance mechanism. When guided by high‑value leads from the EuroMillions mining pipeline, the schedule can be dynamically tuned to optimal phi‑resonant windows, enhancing performance. 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
2026-09-16
DOI
https://doi.org/10.5281/zenodo.22786353
Primary Topic
Advanced Memory and Neural Computing
Type
preprint
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preprint

Phi‑Scaled Fractal Scheduling for Fault‑Tolerant Quantum Memristors — E8 Intelligence Research

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

Phi‑Scaled Fractal Scheduling for Fault‑Tolerant Quantum Memristors — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240 root vectors of the E8 lattice form a phi‑recursive hierarchy of phase‑locked eigenmodes whose frequencies are integer multiples of the 132 Hz base frequency. By assigning quantum memristive gate operations to specific eigenmode levels according to their fractal depth, gate timing inherits self‑similar error‑cancelling properties that passively suppress decoherence. This phi‑scaled fractal scheduling aligns with the E8‑derived spacetime partitioning, providing a geometry‑based fault‑tolerance mechanism. When guided by high‑value leads from the EuroMillions mining pipeline, the schedule can be dynamically tuned to optimal phi‑resonant windows, enhancing performance. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
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