Dynamic Topology-Based Quantum Computation-Based Optimization Algorithm Based on Probability

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents a novel dynamic topology-based quantum computation optimization algorithm that utilizes probability for enhanced optimization performance. Traditional optimization algorithms often rely on static parameters, limiting their adaptability to complex quantum systems. We introduce a new approach where quantum topology is leveraged to dynamically generate and adjust parameters, guided by probability distributions, to achieve significantly improved results. The algorithm's core mechanism centers around the creation of dynamic quantum states, allowing for a more nuanced exploration of the solution space. This paper details the theoretical framework and experimental validation of this algorithm, demonstrating its potential to overcome limitations of existing optimization techniques in the context of quantum computation.

DOI: 10.5281/zenodo.22294378

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