Adaptive Geometry Verification for Complex Physical Systems

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of adaptive geometry transformations to quantum computing validation. Traditional quantum computing validation relies heavily on classical verification techniques, often requiring extensive simulations and time-consuming analysis. We propose a novel framework leveraging adaptive geometry transformations to proactively assess the stability and behavior of complex physical models, offering a potential paradigm shift in verification accuracy and efficiency. This framework allows for a more holistic and automated validation process, ultimately enhancing the reliability of quantum computing designs. The core mechanism involves systematically adjusting geometric parameters of the model to generate a set of test cases, and then analyzing the resulting quantum state for stability and deviation from expected outcomes. This approach aims to minimize reliance on computationally intensive simulations and improve the overall validation cycle. The paper details the framework's architecture, presents preliminary experimental results, and discusses future research directions, emphasizing the potential for significantly advancing quantum computing verification methodologies.

DOI: 10.5281/zenodo.22279713

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