Author: Noson S. Yanofsky
Publisher: Cambridge University Press
ISBN: 1139643908
Size: 62.51 MB
Format: PDF, Docs
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The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas and techniques familiar to every student of computer science. The reader is not expected to have any advanced mathematics or physics background. After presenting the necessary prerequisites, the material is organized to look at different aspects of quantum computing from the specific standpoint of computer science. There are chapters on computer architecture, algorithms, programming languages, theoretical computer science, cryptography, information theory, and hardware. The text has step-by-step examples, more than two hundred exercises with solutions, and programming drills that bring the ideas of quantum computing alive for today's computer science students and researchers.
Language: en
Pages:
Pages:
The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our computational horizons. Quantum Computing for Computer Scientists takes readers on a tour of this fascinating area of cutting-edge research. Written in an accessible yet rigorous fashion, this book employs ideas
Language: de
Pages: 303
Pages: 303
Quantenrechner versprechen ungeahnte Rechenleistung. Quantenverschlüsselungs-Systeme sind sicherer als alle Alternativen. Theoretische Informatiker überdenken die Grundlagen des Rechnens neu - die Forschungen zum Quantencomputer haben die Informatik verändert. Dieses Buch führt anschaulich und von Beginn an auf Beispiele gestützt in die Grundlagen des Quantum Computing ein. Alle wesentlichen Ergebnisse werden detailliert
Language: en
Pages:
Pages:
In the 1990's it was realized that quantum physics has some spectacular applications in computer science. This book is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory without assuming any background in physics. It begins with an introduction to the quantum
Language: en
Pages: 220
Pages: 220
Language: en
Pages: 119
Pages: 119
"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
Language: en
Pages: 717
Pages: 717
By the year 2020, the basic memory components of a computer will be the size of individual atoms. At such scales, the current theory of computation will become invalid. "Quantum computing" is reinventing the foundations of computer science and information theory in a way that is consistent with quantum physics
Language: en
Pages: 126
Pages: 126
A quantum computer is a computer based on a computational model which uses quantum mechanics, which is a subfield of physics to study phenomena at the micro level. There has been a growing interest on quantum computing in the 1990's and some quantum computers at the experimental level were recently
Language: en
Pages: 227
Pages: 227
This book targets computer scientists and engineers who are familiar with concepts in classical computer systems but are curious to learn the general architecture of quantum computing systems. It gives a concise presentation of this new paradigm of computing from a computer systems' point of view without assuming any background
Language: de
Pages: 324
Pages: 324
Language: en
Pages: 119
Pages: 119
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