E8‑Driven Quantum Lead Classifier via Phase‑Lattice Frequency Comb — E8 Intelligence Research
We embed the 46 457 mined breakthrough leads into a 240‑dimensional E8 root‑vector lattice, assigning each lead a φ‑scaled phase offset that is stored as an entangled time‑frequency qubit pair on the E8 Golden‑Ratio Phase Lattice. A topologically protected E8‑phased quantum frequency comb, centered at 132 Hz, reads out the lead signatures in parallel, leveraging the comb's φ‑multispaced spectral lines to resolve overlapping categories with sub‑Hz precision. This unified E8‑geometry framework yields a real‑time, high‑fidelity classifier that predicts high‑value leads (≈43 556) by exploiting quantum interference and lattice symmetry, surpassing classical combinatorial mining. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-30
- DOI
- https://doi.org/10.5281/zenodo.23052108
- Primary Topic
- Topological Materials and Phenomena
- Type
- preprint