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Simulation of a Quantum Prime Factoring Algorithm

机译:量子素因分解算法的仿真

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摘要

The intent of this thesis is to elucidate the quantum computing algorithm developed by Peter Shor called Shor's algorithm. We will provide a detailed description and simulation of the algorithm using MATLAB. Precursory information regarding quantum phenomena such as superposition, entanglement, and Dirac notation, will be described in great detail so that the reader may have a better understanding of the operations in Shor's algorithm.;Quantum computers store and transport information quite differently than their classical counterparts. We will provide a quick overview of these differences to highlight the benefit of utilizing quantum phenomena in a computer in order to create massive parallel computations. Thus, reducing the complexity time for classical algorithms used to solve problems such as the prime factorization problem and the period finding problem.;The Quantum Fourier Transform is a principle component in Shor's algorithm. We will explicitly define the Quantum Fourier Transform and show that it is a unitary transformation. We will also show how the Quantum Fourier Transform, as well as another unitary transformation called the Hadamard transform, functions in Shor's algorithm.;One of the initial parameters in Shor's algorithm is to select a random variable. We will examine the erratic effects of this random variable as well as how it effects the probability of us successfully reducing an integer into a product of two primes. We will provide a thorough analysis of the randomness in Shor's algorithm. We will also show how measuring the state of our quantum system as well as selecting a suitable random variable impacts finding the period of the Quantum Fourier Transform which in turn will either give a high or low probability of obtaining a factor of some integer.
机译:本文的目的是阐明由彼得·索尔(Peter Shor)开发的称为Shor算法的量子计算算法。我们将提供使用MATLAB的算法的详细描述和仿真。有关量子现象(例如叠加,纠缠和狄拉克表示法)的先驱信息将得到详细描述,以使读者可以更好地理解Shor算法中的运算。量子计算机与传统计算机相比,存储和传输信息的方式大不相同。 。我们将快速概述这些差异,以突出利用计算机中的量子现象进行大规模并行计算的好处。因此,减少了用于解决诸如素因数分解问题和周期寻找问题之类的经典算法的复杂性时间。量子傅立叶变换是Shor算法的主要组成部分。我们将明确定义量子傅立叶变换,并证明它是一个transformation变换。我们还将展示量子傅立叶变换以及另一个称为Hadamard变换的unit变换如何在Shor算法中起作用。; Shor算法的初始参数之一是选择随机变量。我们将研究此随机变量的不稳定影响,以及它如何影响我们成功地将整数简化为两个质数的乘积的概率。我们将对Shor算法中的随机性进行全面分析。我们还将展示如何测量我们的量子系统的状态以及选择合适的随机变量如何影响找到量子傅立叶变换的周期,而该周期又将使获得某个整数因数的概率较高或较低。

著录项

  • 作者

    Parsons, Elizabeth E.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Mathematics.
  • 学位 M.A.
  • 年度 2016
  • 页码 82 p.
  • 总页数 82
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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