Quantum State Adaptive Topology

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum State Adaptive Topology explores the potential of leveraging quantum state properties to design algorithms capable of dynamic adjustment based on input data. This research investigates a novel approach that integrates quantum state manipulation with topology to achieve global optimization and adaptability, overcoming limitations inherent in traditional algorithmic approaches. The core mechanism focuses on creating a relationship between the quantum state and a topological structure, enabling the algorithm to respond to changes in the input data through a self-regulating process. This paper presents a conceptual framework and preliminary analysis demonstrating the feasibility and potential benefits of this approach.

DOI: 10.5281/zenodo.22279788

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