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arXiv 2202.04888quant-ph
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面向矩阵运算与线性方程组的量子算法

Quantum algorithms for matrix operations and linear systems of equations

Wentao Qi, Alexandr I. Zenchuk, Asutosh Kumar, Junde Wu

AI总结:

本研究基于Sender-Receiver模型提出多种矩阵运算的量子算法,将矩阵元素编码为发送端初态概率振幅,经酉变换后从接收端密度矩阵获取结果,可作量子子例程,还提出了线性方程组求解的替代量子算法。

摘要:

基础矩阵运算与线性方程组求解在科学研究中无处不在。我们基于“Sender-Receiver(发送-接收)”模型,提出了用于矩阵-向量乘积、矩阵-矩阵乘积、两矩阵求和、矩阵行列式与逆矩阵计算等矩阵运算的量子算法。我们将矩阵元素编码到发送端纯初始态的概率振幅中,对整个量子系统施加合适的酉变换后,所需结果可在接收端密度矩阵的特定块中得到。这些量子协议可作为其他量子方案的子例程。此外,我们还提出了一种求解线性方程组的替代量子算法。

英文摘要:

Fundamental matrix operations and solving linear systems of equations are ubiquitous in scientific investigations. Using the "Sender-Receiver" model, we propose quantum algorithms for matrix operations such as matrix-vector product, matrix-matrix product, the sum of two matrices, and calculation of determinant and inverse of a matrix. We encode the matrix entries into the probability amplitudes of pure initial states of senders. After applying a proper unitary transformation to the complete quantum system, the desired result can be found in certain blocks of the receiver's density matrix. These quantum protocols can be used as subroutines in other quantum schemes. Furthermore, we present an alternative quantum algorithm for solving linear systems of equations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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