矩阵运算和线性方程组的量子算法

IF 2.9 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Wentao Qi, Alexandr I Zenchuk, Asutosh Kumar, Junde Wu
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引用次数: 0

摘要

基本矩阵运算和线性方程组求解在科学研究中无处不在。利用 "发送者-接收者 "模型,我们提出了矩阵运算的量子算法,如矩阵-向量积、矩阵-矩阵积、两个矩阵之和、行列式和逆矩阵的计算。我们将矩阵项编码为发送者纯初始状态的概率振幅。在对整个量子系统进行适当的单元变换后,就能在接收方密度矩阵的某些块中找到所需的结果。这些量子协议可用作其他量子方案的子程序。此外,我们还提出了另一种求解线性方程组的量子算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum algorithms for matrix operations and linear systems of equations
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 the calculation of determinant and inverse matrix. We encode the matrix entries into the probability amplitudes of the pure initial states of senders. After applying 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.
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来源期刊
Communications in Theoretical Physics
Communications in Theoretical Physics 物理-物理:综合
CiteScore
5.20
自引率
3.20%
发文量
6110
审稿时长
4.2 months
期刊介绍: Communications in Theoretical Physics is devoted to reporting important new developments in the area of theoretical physics. Papers cover the fields of: mathematical physics quantum physics and quantum information particle physics and quantum field theory nuclear physics gravitation theory, astrophysics and cosmology atomic, molecular, optics (AMO) and plasma physics, chemical physics statistical physics, soft matter and biophysics condensed matter theory others Certain new interdisciplinary subjects are also incorporated.
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