Contemporary fundamental physics is structurally exhausted: the pseudo-Riemannian continuum of General Relativity is ontologically incompatible with the stochastic, quantized nature of Quantum Field Theory, and the standard ΛCDM cosmology cannot accommodate the Hubble tension (>5σ), the structural anisotropy implied by the Big Ring (~1. 3 Gly) and the Giant Arc (~3. 3 Gly), or the persistent failure of WIMP detection. We present the Unified Theory of Algorithmic Quantum Gravity (UTAQG), in which the universe is reformulated as a deterministic, self-computing system — the Universal Computational Matrix (UCM) — realised on a discrete quantum hypergraph with diamond-cubic coordination. The Einstein metric tensor is replaced by an algorithmic Measure tensor μ_αβ, which acts as the operating system of the vacuum and as the dynamical operator of local computational bandwidth. Key results: - Lorentz invariance is derived as a topologically protected emergent property via discrete Chern and Seiberg–Witten invariants on the graph. - The Standard Model gauge group SU (3) × SU (2) × U (1) is obtained analytically from the Clifford algebra Cℓ (10) acting on cyclic routing paths. - The black hole information paradox is resolved through the Quantum Memory Matrix (QMM): horizons act as hardware clock-gating boundaries, Hawking radiation as unitary garbage collection. - Mass is reinterpreted as computational drag, providing the basis for the Information Transmutation of Mass (ITM) engineering programme. Three falsification protocols are formulated with explicit numerical thresholds: (i) a +20 dB/dec spectral comb in vacuum jitter PSD between 1 MHz and 1 GHz; (ii) recovery of the 42. 98″/century perihelion precession of Mercury and an algorithmic-gradient bound |∇μ₀₀| ≤ 1. 48 × 10⁻²⁷ m⁻¹ derived from the Pioneer anomaly; (iii) the Artemis lunar-clock impedance test.
Building similarity graph...
Analyzing shared references across papers
Loading...
Anton Ciuhnenco
Moldova State University
Institute of Chemistry
Building similarity graph...
Analyzing shared references across papers
Loading...
Anton Ciuhnenco (Thu,) studied this question.
www.synapsesocial.com/papers/69fed153b9154b0b8287897d — DOI: https://doi.org/10.5281/zenodo.20075058