Core Claim: A Quantum Entanglement-Based Adaptive Topological Transformation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement offers a paradigm shift in computation, potentially enabling fundamentally more efficient algorithms and models. This paper explores the application of quantum entanglement to adaptive topological transformation, a novel approach designed to enhance computational performance. We detail a method utilizing entangled states to dynamically reshape topological structures, offering a pathway towards improved efficiency and accuracy in various computational tasks. The core mechanism centers around leveraging entanglement to iteratively modify the topological properties of a system, achieving transformations without explicit, computationally intensive calculations. This research investigates the potential benefits of this approach, focusing on its theoretical foundations and experimental implications. We present a preliminary design and analysis demonstrating the feasibility of this technique, highlighting its potential for future advancements in quantum computing and data processing.

DOI: 10.5281/zenodo.22185294

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