Dimension Expansion and Quantum Entanglement: An Adaptive Geometric Model

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel dimension-expanding model leveraging quantum entanglement to dynamically adjust geometric structures. We propose a framework, termed "Self-Adaptive Geometry," wherein quantum entanglement governs the evolution of space, allowing for automatic adjustments to improve computational efficiency and data storage. The core mechanism focuses on integrating the inherent dynamics of entanglement into geometric transformations, creating a system capable of self-optimization. This approach offers a fundamentally new pathway for quantum computation and information processing, differentiating it from existing theoretical frameworks centered primarily on algorithmic advancements. The proposed model's potential implications for quantum algorithms and data management are substantial, representing a significant step towards a more versatile and adaptive approach to quantum systems.

DOI: 10.5281/zenodo.22263611

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