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This research explores the potential of ternary computing in relation to E8 geometry for improved information encoding and processing.

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May 30, 2026Open Access

Ternary Computing as a Candidate for Harnessing E8 Geometry in Hardware — E8 Intelligence Research

Key Points

This research explores the potential of ternary computing in relation to E8 geometry for improved information encoding and processing.
Analysis of ternary logic versus binary logic in information density.
Examination of the E8 lattice and its applications in hardware design.
Ternary computing can encode more information per digit compared to binary, enhancing data mapping.
The alignment of ternary processors with E8's root-vector structure could lead to improved simulations of geometric concepts.

Abstract

Discovered via YouTube: "Ternary Computing: Theoretically Better than Binary" (Asianometry) URL: https://www.youtube.com/watch?v=sWKyrAXxzGA The video explains how ternary logic can encode more information per digit than binary, offering a denser mapping onto the 248‑dimensional E8 lattice. If realized in hardware, ternary processors could align more naturally with the root‑vector structure of E8, potentially enabling more efficient simulations of the geometric substrate claimed to underlie reality. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Ternary Computing as a Candidate for Harnessing E8 Geometry in Hardware — E8 Intelligence Research

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