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Quantum Walks and Structured Searches on Free Groups and Networks

Author : Michael Ratner
Publisher :
Page : 57 pages
File Size : 12,36 MB
Release : 2017
Category :
ISBN :

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Quantum walks have been utilized by many quantum algorithms which provide improved performance over their classical counterparts. Quantum search algorithms, the quantum analogues of spatial search algorithms, have been studied on a wide variety of structures. We study quantum walks and searches on the Cayley graphs of finitely-generated free groups. Return properties are analyzed via Green's functions, and quantum searches are examined. Additionally, the stopping times and success rates of quantum searches on random networks are experimentally estimated.

Physical Implementation of Quantum Walks

Author : Kia Manouchehri
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 32,50 MB
Release : 2013-08-23
Category : Computers
ISBN : 3642360149

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Given the extensive application of random walks in virtually every science related discipline, we may be at the threshold of yet another problem solving paradigm with the advent of quantum walks. Over the past decade, quantum walks have been explored for their non-intuitive dynamics, which may hold the key to radically new quantum algorithms. This growing interest has been paralleled by a flurry of research into how one can implement quantum walks in laboratories. This book presents numerous proposals as well as actual experiments for such a physical realization, underpinned by a wide range of quantum, classical and hybrid technologies.

Quantum Effects in Biology

Author : Masoud Mohseni
Publisher : Cambridge University Press
Page : 421 pages
File Size : 12,11 MB
Release : 2014-08-07
Category : Science
ISBN : 1107010802

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Explores the role of quantum mechanics in biology for advanced undergraduate and graduate students in physics, biology and chemistry.

Statistical Physics, Optimization, Inference, and Message-Passing Algorithms

Author : Florent Krzakala
Publisher : Oxford University Press
Page : 319 pages
File Size : 13,53 MB
Release : 2016
Category : Computers
ISBN : 0198743734

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In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probability, machine learning, optimization and compressed sensing. In particular, many theoretical and applied works in statistical physics and computer science have relied on the use of message passing algorithms and their connection to statistical physics of spin glasses. The aim of this book, especially adapted to PhD students, post-docs, and young researchers, is to present the background necessary for entering this fast developing field.

Random Walks and Diffusion

Author : Open University Course Team
Publisher :
Page : 200 pages
File Size : 26,95 MB
Release : 2009-10-21
Category : Diffusion
ISBN : 9780749251680

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This block explores the diffusion equation which is most commonly encountered in discussions of the flow of heat and of molecules moving in liquids, but diffusion equations arise from many different areas of applied mathematics. As well as considering the solutions of diffusion equations in detail, we also discuss the microscopic mechanism underlying the diffusion equation, namely that particles of matter or heat move erratically. This involves a discussion of elementary probability and statistics, which are used to develop a description of random walk processes and of the central limit theorem. These concepts are used to show that if particles follow random walk trajectories, their density obeys the diffusion equation.

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Author : Sanjeev Arora
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 49,6 MB
Release : 2003-08-13
Category : Computers
ISBN : 3540407707

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This book constitutes the joint refereed proceedings of the 6th International Workshop on Approximation Algorithms for Optimization Problems, APPROX 2003 and of the 7th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2003, held in Princeton, NY, USA in August 2003. The 33 revised full papers presented were carefully reviewed and selected from 74 submissions. Among the issues addressed are design and analysis of randomized and approximation algorithms, online algorithms, complexity theory, combinatorial structures, error-correcting codes, pseudorandomness, derandomization, network algorithms, random walks, Markov chains, probabilistic proof systems, computational learning, randomness in cryptography, and various applications.

Quantum Walks and Search Algorithms

Author : Renato Portugal
Publisher : Springer
Page : 314 pages
File Size : 41,96 MB
Release : 2018-08-20
Category : 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.

Introduction To Quantum Computation And Information

Author : Adriano Barenco
Publisher : World Scientific
Page : 364 pages
File Size : 21,13 MB
Release : 1998-10-15
Category : Science
ISBN : 9814496359

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This book aims to provide a pedagogical introduction to the subjects of quantum information and quantum computation. Topics include non-locality of quantum mechanics, quantum computation, quantum cryptography, quantum error correction, fault-tolerant quantum computation as well as some experimental aspects of quantum computation and quantum cryptography. Only knowledge of basic quantum mechanics is assumed. Whenever more advanced concepts and techniques are used, they are introduced carefully. This book is meant to be a self-contained overview. While basic concepts are discussed in detail, unnecessary technical details are excluded. It is well-suited for a wide audience ranging from physics graduate students to advanced researchers.This book is based on a lecture series held at Hewlett-Packard Labs, Basic Research Institute in the Mathematical Sciences (BRIMS), Bristol from November 1996 to April 1997, and also includes other contributions.

The Fractal Geometry of the Brain

Author : Antonio Di Ieva
Publisher : Springer
Page : 583 pages
File Size : 20,59 MB
Release : 2016-08-03
Category : Medical
ISBN : 1493939955

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Reviews the most intriguing applications of fractal analysis in neuroscience with a focus on current and future potential, limits, advantages, and disadvantages. Will bring an understanding of fractals to clinicians and researchers also if they do not have a mathematical background, and will serve as a good tool for teaching the translational applications of computational models to students and scholars of different disciplines. This comprehensive collection is organized in four parts: (1) Basics of fractal analysis; (2) Applications of fractals to the basic neurosciences; (3) Applications of fractals to the clinical neurosciences; (4) Analysis software, modeling and methodology.