Adaptive Quantum Entanglement and Topological Expansion

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of adaptive quantum entanglement and topological expansion as a novel approach to quantum computing, aiming to overcome limitations of traditional quantum algorithms through enhanced flexibility and optimization. We propose a framework that leverages the unique properties of quantum entanglement and topological structures to dynamically adjust the quantum state, enabling the exploration of complex data distributions and the generation of more accurate predictive models. The core concept centers around the design of a self-adjusting topology, a mechanism that responds to changes in input data, generating new quantum states that optimize the outcome of computations. This work explores the theoretical foundations and potential practical implementations of this approach, with a focus on enhancing the robustness and efficiency of quantum algorithms. The paper concludes with a discussion of the challenges and future directions for this innovative methodology.

DOI: 10.5281/zenodo.22508077

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