自适应矩阵运算的量子化

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm, termed "Adaptive Matrix Operation," designed to revolutionize quantum computation through the implementation of self-adaptive matrix operations. Traditional matrix operations are plagued by numerical precision limitations, hindering the scalability of quantum algorithms. Our approach leverages quantum entanglement and instantaneous correlation to dynamically adjust matrix structures and operations, effectively mitigating these issues and opening avenues for enhanced quantum performance. The core mechanism involves constructing a quantum state that evolves based on input data, allowing the algorithm to tailor its internal representation and execution to optimize the outcome. This paper details the theoretical framework, preliminary experimental results, and potential implications of this innovative quantum algorithm.

DOI: 10.5281/zenodo.22279803

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