基于自适应几何结构的量子算法

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm based on adaptive geometric structures, designed to optimize quantum computations by dynamically adjusting quantum system configurations. Traditional quantum algorithms often rely on predefined structures, limiting their versatility and potential for optimization. This algorithm utilizes adaptive geometry to dynamically adjust quantum systems, allowing for a more flexible and efficient approach to quantum problem-solving. The core mechanism involves the creation and manipulation of a dynamic geometric structure that responds to input data, enabling a tailored quantum system to be constructed. This approach offers a significant departure from existing methods, promising enhanced performance and adaptability in quantum computation.

DOI: 10.5281/zenodo.22266323

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