Quantum Topologies: Adaptive Geometry Modeling

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum Topologies represent a fascinating intersection of quantum mechanics and topology, offering a unique paradigm for computation and information processing. This paper explores the development of an adaptive geometry modeling framework, leveraging quantum entanglement and topological structure to dynamically map and control quantum states, and ultimately, pushing the boundaries of quantum computation. We propose a novel approach that utilizes quantum entanglement as a key mechanism for achieving this dynamic control, offering a potential pathway to overcome the limitations of traditional quantum computing. The framework's core claim is that establishing such a modeling system will lead to significant breakthroughs in quantum algorithms and computational capabilities.

DOI: 10.5281/zenodo.22153916

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