Dimension Generalization and Quantum Geometry Integration

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

The traditional approach to dimension generalization, often relying on simplified mathematical models, struggles to accurately predict computational outcomes. Quantum geometry's inherent self-adaptation offers a novel framework for tackling this challenge, enabling the creation of computations exceeding the limits of classical physics. This paper explores the integration of dynamic dimension generalization, driven by quantum entanglement, to achieve computational capabilities beyond current limitations. We introduce a novel algorithm that leverages this self-adaptation, aiming to push the boundaries of what's computationally feasible. The research is driven by the desire to explore a fundamental shift in how we approach complex calculations, potentially unlocking new frontiers in scientific and technological advancement.

DOI: 10.5281/zenodo.22201260

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