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基于量子几何的拓扑变换的量子算法验证

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper explores the application of quantum geometry to validate quantum algorithms, offering a novel approach to algorithm verification. Traditional methods rely on classical verification, which struggles to fully capture the intricacies of quantum algorithms. We propose a new methodology leveraging quantum geometric models to rigorously assess the correctness and stability of quantum computations. The core mechanism involves constructing a quantum geometric representation of the algorithm, and utilizing the inherent properties of quantum geometry – specifically, self-similarity and entanglement – to detect subtle errors and inconsistencies that might be missed by conventional verification techniques. This research aims to provide a robust and efficient method for validating quantum algorithms, addressing limitations of existing approaches.

DOI
10.5281/zenodo.22184924

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Quantum computing holds immense promise for revolutionizing various fields, from drug discovery to materials science. However, ensuring the correctness and stability of quantum algorithms and models is a significant challenge. Traditional verification methods often rely on lengthy and computationally intensive measurement processes, limiting their scalability and potential for early error detection. This paper proposes a novel verification algorithm based on quantum entanglement, aiming to enhance the robustness of quantum systems by leveraging the unique properties of entanglement. We introduce a framework that utilizes entangled states to rapidly analyze potential errors and identify subtle inconsistencies within quantum computations. This approach surpasses traditional methods by offering a more efficient and nuanced approach to verification. The core mechanism involves the creation of entangled states, enabling the detection of correlated errors and providing a mechanism for rapid error analysis. The proposed algorithm demonstrates significant improvements in error detection and validation compared to existing methods, offering a promising path towards more reliable and trustworthy quantum computations.
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