Quantum System Topology Framework Adaptive Optimization

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum system topology offers a fundamentally new approach to designing and optimizing quantum systems, leveraging the inherent properties of quantum entanglement and superposition. This paper explores the development of a novel quantum system topology framework, termed "Quantum Topology Optimization" (QTO), which utilizes the self-relevant nature of quantum systems to dynamically guide optimization processes. Traditional quantum optimization methods typically rely on static parameters, offering limited adaptability and potential for suboptimal solutions. QTO, however, dynamically adjusts optimization parameters based on the quantum system's intrinsic properties, leading to more efficient and robust quantum computations. This research focuses on establishing a robust framework for exploiting self-similarity within quantum systems to achieve enhanced optimization performance.

DOI: 10.5281/zenodo.22243295

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