Quantum Topology: Adaptive Optimization Strategies

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum topology, a relatively recent field of physics, offers a unique approach to designing quantum systems. This paper explores the potential of utilizing quantum topology to develop adaptive optimization strategies for quantum computation. We propose a novel framework that leverages the inherent properties of quantum topology to dynamically adjust quantum system parameters, enabling efficient and potentially transformative quantum algorithms. The core of this approach lies in a mechanism that allows the system to self-correct and adapt its behavior in response to changing conditions. The paper details the proposed framework, its mathematical underpinnings, and preliminary results demonstrating the effectiveness of this approach. We highlight the advantages over traditional optimization methods, emphasizing the potential for improved performance and scalability.

DOI: 10.5281/zenodo.22612562

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