Nonlinear Matrix Verification and Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This research investigates the application of quantum computing to the verification of matrix operations, focusing on the design of a novel quantum verification framework. The core claim is that leveraging quantum computation offers superior verification accuracy compared to classical methods. The research will explore the establishment of quantum algorithms specifically tailored to assess key quantum properties of matrices. This work aims to enhance the fidelity of quantum computations through rigorous verification and ultimately contribute to the development of more robust and reliable quantum algorithms. The investigation will culminate in a detailed analysis of the framework's potential impact across various matrix-related applications.

DOI: 10.5281/zenodo.22204475

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