Self-Adaptive Geometric Transformations for Quantum Algorithms

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper presents a novel quantum algorithm based on self-adaptive geometric transformations. Traditional quantum algorithms often rely on pre-defined parameters and circuits, limiting their adaptability. This research introduces a quantum algorithm that dynamically adjusts geometric transformations during computation, offering significant potential for increased efficiency and enhanced computational capabilities. The core mechanism leverages quantum entanglement and geometric transformations to achieve enhanced numerical results. This work explores the design and implementation of this algorithm, highlighting its advantages and potential applications within the field of quantum computation. The paper concludes with a discussion of the algorithm's theoretical foundation and future research directions.

DOI: 10.5281/zenodo.22221950

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