Grid Physics: The Geometric Unification of Fundamental Interactions via Vacuum Impedance

Abstract

Recent proposals in Information Physics posit that the physical universe may be modeled as a discrete computational substrate. We present Grid Physics, a framework exploring the hypothesis that spacetime acts as a Face-Centered Cubic (FCC) information lattice governed by the Principle of Computational Optimization (ΣK → min). Unlike standard models dependent on arbitrary fitting, we demonstrate that fundamental physical constants can be interpreted as emergent geometric impedances of this discrete vacuum. Specifically: a) Proton-to-Electron Mass Ratio (μ ≈ 6π5) and the Fine-Structure Constant (α−1 ≈ 137.036) are modeled as intrinsic geometric properties of the lattice interface; b) We define the ”Entropic Impedance Factor” (γsys ≈ 1.0418)—numerically consistent with the Proton Radius Anomaly—as the information entropy loss inherent in
projecting continuous spherical symmetries onto a discrete grid; c) We show that atomic nuclei can be modeled as crystalline clusters of Alpha-particles, yielding binding energy predictions with > 99.9% correlation to experimental data; d) We propose that Superconductivity in condensed matter (e.g., Twisted Bilayer Graphene) represents a state of Geometric Resonance (N/137) between the material lattice and the vacuum impedance. This framework suggests that physical laws may be viewed as runtime optimization protocols of a discrete system, offering a unified geometric perspective on mass, nuclear stability, and conductivity consistent with the Mass-Energy-Information Equivalence principle.