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Quantum Walks and Search Algorithms

Quantum Walks and Search Algorithms
Author: Renato Portugal
Publisher: Springer
Total Pages: 308
Release: 2018-08-20
Genre: Science
ISBN: 3319978136

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The revised edition of this book offers an extended overview of quantum walks and explains their role in building quantum algorithms, in particular search algorithms. Updated throughout, the book focuses on core topics including Grover's algorithm and the most important quantum walk models, such as the coined, continuous-time, and Szedgedy's quantum walk models. There is a new chapter describing the staggered quantum walk model. The chapter on spatial search algorithms has been rewritten to offer a more comprehensive approach and a new chapter describing the element distinctness algorithm has been added. There is a new appendix on graph theory highlighting the importance of graph theory to quantum walks. As before, the reader will benefit from the pedagogical elements of the book, which include exercises and references to deepen the reader's understanding, and guidelines for the use of computer programs to simulate the evolution of quantum walks. Review of the first edition: “The book is nicely written, the concepts are introduced naturally, and many meaningful connections between them are highlighted. The author proposes a series of exercises that help the reader get some working experience with the presented concepts, facilitating a better understanding. Each chapter ends with a discussion of further references, pointing the reader to major results on the topics presented in the respective chapter.” - Florin Manea, zbMATH.


Graph Theory: Quantum Walk

Graph Theory: Quantum Walk
Author: N.B. Singh
Publisher: N.B. Singh
Total Pages: 142
Release:
Genre: Computers
ISBN:

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"Graph Theory: Quantum Walk" explores how quantum computing enhances our understanding and applications of graphs. From basic principles to advanced algorithms, the book shows how quantum mechanics revolutionizes computation in graph theory. Whether you're a student, researcher, or enthusiast, discover the exciting potential where quantum principles meet graph theory, offering new insights and computational strategies in this dynamic field.


Discrete Quantum Walks on Graphs and Digraphs

Discrete Quantum Walks on Graphs and Digraphs
Author: Chris Godsil
Publisher: Cambridge University Press
Total Pages: 151
Release: 2022-12-31
Genre: Computers
ISBN: 1009261681

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Explore the mathematics arising from discrete quantum walks in this introduction to a rapidly developing area.


Quantum Walks on Graphs

Quantum Walks on Graphs
Author: Matthew Lionel Jemielita
Publisher:
Total Pages: 48
Release: 2009
Genre:
ISBN:

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Discrete Quantum Walks on Graphs and Digraphs

Discrete Quantum Walks on Graphs and Digraphs
Author: Hanmeng Zhan
Publisher:
Total Pages: 144
Release: 2018
Genre: Algebraic topology
ISBN:

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This thesis studies various models of discrete quantum walks on graphs and digraphs via a spectral approach. A discrete quantum walk on a digraph $X$ is determined by a unitary matrix $U$, which acts on complex functions of the arcs of $X$. Generally speaking, $U$ is a product of two sparse unitary matrices, based on two direct-sum decompositions of the state space. Our goal is to relate properties of the walk to properties of $X$, given some of these decompositions. We start by exploring two models that involve coin operators, one due to Kendon, and the other due to Aharonov, Ambainis, Kempe, and Vazirani. While $U$ is not defined as a function in the adjacency matrix of the graph $X$, we find exact spectral correspondence between $U$ and $X$. This leads to characterization of rare phenomena, such as perfect state transfer and uniform average vertex mixing, in terms of the eigenvalues and eigenvectors of $X$. We also construct infinite families of graphs and digraphs that admit the aforementioned phenomena. The second part of this thesis analyzes abstract quantum walks, with no extra assumption on $U$. We show that knowing the spectral decomposition of $U$ leads to better understanding of the time-averaged limit of the probability distribution. In particular, we derive three upper bounds on the mixing time, and characterize different forms of uniform limiting distribution, using the spectral information of $U$. Finally, we construct a new model of discrete quantum walks from orientable embeddings of graphs. We show that the behavior of this walk largely depends on the vertex-face incidence structure. Circular embeddings of regular graphs for which $U$ has few eigenvalues are characterized. For instance, if $U$ has exactly three eigenvalues, then the vertex-face incidence structure is a symmetric $2$-design, and $U$ is the exponential of a scalar multiple of the skew-symmetric adjacency matrix of an oriented graph. We prove that, for every regular embedding of a complete graph, $U$ is the transition matrix of a continuous quantum walk on an oriented graph.


Randomization and Approximation Techniques in Computer Science

Randomization and Approximation Techniques in Computer Science
Author: Jose D.P. Rolim
Publisher: Springer
Total Pages: 284
Release: 2003-08-03
Genre: Computers
ISBN: 3540457267

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This book constitutes the refereed proceedings of the 6th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2002, held in Cambridge, MA, USA in September 2002. The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. Among the topics addressed are coding, geometric computations, graph colorings, random hypergraphs, graph computations, lattice computations, proof systems, probabilistic algorithms, derandomization, constraint satisfaction, and web graphs analysis.


Quantum Walks and Search Algorithms

Quantum Walks and Search Algorithms
Author: Renato Portugal
Publisher: Springer Science & Business Media
Total Pages: 228
Release: 2013-02-16
Genre: Science
ISBN: 146146336X

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This book addresses an interesting area of quantum computation called quantum walks, which play an important role in building quantum algorithms, in particular search algorithms. Quantum walks are the quantum analogue of classical random walks. It is known that quantum computers have great power for searching unsorted databases. This power extends to many kinds of searches, particularly to the problem of finding a specific location in a spatial layout, which can be modeled by a graph. The goal is to find a specific node knowing that the particle uses the edges to jump from one node to the next. This book is self-contained with main topics that include: Grover's algorithm, describing its geometrical interpretation and evolution by means of the spectral decomposition of the evolution operator Analytical solutions of quantum walks on important graphs like line, cycles, two-dimensional lattices, and hypercubes using Fourier transforms Quantum walks on generic graphs, describing methods to calculate the limiting distribution and mixing time Spatial search algorithms, with emphasis on the abstract search algorithm (the two-dimensional lattice is used as an example) Szedgedy's quantum-walk model and a natural definition of quantum hitting time (the complete graph is used as an example) The reader will benefit from the pedagogical aspects of the book, learning faster and with more ease than would be possible from the primary research literature. Exercises and references further deepen the reader's understanding, and guidelines for the use of computer programs to simulate the evolution of quantum walks are also provided.


Quantum Walks for Computer Scientists

Quantum Walks for Computer Scientists
Author: Salvador Elías Venegas-Andraca
Publisher: Morgan & Claypool Publishers
Total Pages: 134
Release: 2008
Genre: Computers
ISBN: 1598296566

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"Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of those physical systems used to implement such algorithms." "Solving difficult tasks (for example, the Satisfiability Problem and other NP-complete problems) requires the development of sophisticated algorithms, many of which employ stochastic processes as their mathematical basis. Discrete random walks are a popular choice among those stochastic processes." "Inspired on the success of discrete random walks in algorithm development, quantum walks, an emerging field of quantum computation, is a generalization of random walks into the quantum mechanical world." "The purpose of this lecture is to provide a concise yet comprehensive introduction to quantum walks."--BOOK JACKET.


Quantum Snake Walk on Graphs

Quantum Snake Walk on Graphs
Author: Ansis Rosmanis
Publisher:
Total Pages: 65
Release: 2009
Genre:
ISBN:

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Quantum walks on graphs have been proven to be a useful tool in quantum algorithm construction for various problems. In this thesis we introduce a new type of continuous-time quantum walk on graphs called the quantum snake walk, the basis states of which are fixed-length paths (snakes) in the underlying graph. We first consider the quantum snake walk on the line. The analysis of the eigenvalues and the eigenvectors of the Hamiltonian governing the walk reveals that most states initially localized in a segment on the line always remain in that same segment. However, there are exponentially small (in the length of the snake) fraction of states which move on the line as wave packets with momentum inversely proportional to the length of the snake. Next we show how an algorithm based on the quantum snake walk might be able to solve an extended version of the glued trees problem which asks to find a path connecting both roots of the glued trees graph. No efficient quantum algorithm solving this problem is known yet. For that reason we consider a specific extension of the glued trees graph and analyze how the quantum snake walk behaves on it. In particular we show that the quantum snake walk on the infinite binary tree, restricted to certain superpositions, in many aspects is very similar to the quantum snake walk on the line. We also argue why the quantum snake walk, initialized in certain superpositions on one side of the glued trees graph, after certain amount of time is likely to be found on the other side of the graph. This seems to be crucial if we want our algorithm to work.


Quantum Walks for Computer Scientists

Quantum Walks for Computer Scientists
Author: Salvador Venegas-Andraca
Publisher: Morgan & Claypool Publishers
Total Pages: 133
Release: 2008-10-08
Genre: Technology & Engineering
ISBN: 1598296574

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Quantum computation, one of the latest joint ventures between physics and the theory of computation, is a scientific field whose main goals include the development of hardware and algorithms based on the quantum mechanical properties of those physical systems used to implement such algorithms. Solving difficult tasks (for example, the Satisfiability Problem and other NP-complete problems) requires the development of sophisticated algorithms, many ofwhich employ stochastic processes as their mathematical basis. Discrete random walks are a popular choice among those stochastic processes. Inspired on the success of discrete random walks in algorithm development, quantum walks, an emerging field of quantum computation, is a generalization of random walks into the quantum mechanical world. The purpose of this lecture is to provide a concise yet comprehensive introduction to quantum walks. Table of Contents: Introduction / Quantum Mechanics / Theory of Computation / Classical Random Walks / Quantum Walks / Computer Science and Quantum Walks / Conclusions