Quantum Topological Optimization for Complex Systems

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum topological optimization offers a novel approach to solving complex optimization problems by leveraging the unique properties of quantum mechanics. This paper introduces a framework based on quantum entanglement and topological structure, demonstrating its potential for optimizing intricate systems. We propose a method that dynamically adjusts the topology of a system, guided by quantum computations, to achieve optimal solutions. The core mechanism involves manipulating the system's structure through quantum entanglement, resulting in a significant improvement over traditional optimization techniques. This research explores the feasibility of this approach in a specific case study – optimizing a network topology – highlighting the potential for transformative advancements in various fields.

DOI: 10.5281/zenodo.22222606

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