基于动态矩阵的线性代数计算的量子算法
Jincheng Zhang
Abstract
This paper introduces a novel approach to quantum algorithm design utilizing a dynamic matrix representation. Traditional linear algebra operations are often computationally intensive and require explicit matrix construction. This work proposes a method that transforms these operations into a quantum computation, leveraging the inherent properties of dynamic matrices to significantly improve efficiency. We detail the core mechanism, the algorithm's design, and its potential impact on quantum computation. The paper concludes with a discussion of the advantages and limitations of this approach, emphasizing its potential to streamline quantum algorithm development and enhance computational capabilities.