Quantum Topology Simulation Adaptive Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel adaptive optimization algorithm based on quantum topology simulation, designed to dynamically adjust optimization parameters based on the specific characteristics of the problem being addressed. The core mechanism leverages the unique properties of quantum topology – a mathematical framework that describes the robustness of geometric structures – to generate a simulated environment where the optimization process is inherently influenced by the underlying problem's topology. We demonstrate the effectiveness of this approach through a series of simulations and preliminary experiments, showcasing enhanced optimization efficiency compared to traditional optimization techniques. The paper provides a detailed explanation of the quantum topology simulation process, the adaptive parameter adjustment strategy, and the resulting benefits for various optimization problems.

DOI: 10.5281/zenodo.22290025

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