Self-Adaptive Topology Transformations for Quantum Feature Calculation: A Novel Approach to Geometric Simulation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of self-adaptive topology transformations to quantum feature calculation, aiming to enhance the accuracy and efficiency of geometric simulation. We present a novel algorithm that leverages the unique properties of quantum computation to achieve a significant improvement in the representation of complex geometric features. The core mechanism involves mapping and manipulating quantum states to generate highly detailed and accurate feature representations, thereby offering a paradigm shift in geometric simulation techniques. This work addresses the limitations of traditional methods and highlights the potential of quantum computing to revolutionize this field.

DOI: 10.5281/zenodo.22272107

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