Self-Adaptive Quantum Computing: A Topological Geometry Model for Quantum System Simulation and Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing is poised to revolutionize various fields, demanding novel algorithms and computational techniques. Traditional approaches often struggle with the complexity of quantum systems, necessitating the development of efficient and adaptable methods. This paper proposes a novel framework based on self-adaptive quantum computing to simulate quantum systems and utilize topological geometry as a key optimization tool. We outline the core concept, detailing the building blocks of this model and illustrating its potential for optimizing quantum algorithms through the application of topological geometric principles. The paper explores the advantages of this approach, focusing on its capacity for efficient simulation and optimization, and highlights the key contributions and future directions of this research.

DOI: 10.5281/zenodo.22202697

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