Title: Adaptive Geometry of Non-Linear Geometry for Quantum Computing Parameter Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of adaptive geometry, specifically rooted in non-linear topological geometry, to optimize quantum computations. The core hypothesis posits that dynamically adjusting quantum parameters within a carefully constructed topological structure can significantly enhance computational efficiency and accuracy compared to traditional numerical methods. The proposed framework leverages the inherent properties of topological spaces to achieve this optimization, offering a novel approach to parameter tuning within quantum algorithms. This work contributes to a deeper understanding of how topological concepts can be effectively integrated into the design of quantum systems, potentially revolutionizing parameter optimization strategies in the field of quantum computing.

DOI: 10.5281/zenodo.22186298

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