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McMahon, David Quantum Computing Explained eBook

Quantum Computing Explained

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eBook Publisher: John Wiley & Sons
Imprint: IEEE Computer Society Press

Format: Adobe Encrypted (DRM)


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A self-contained treatment of the fundamentals of quantum computing

This clear, practical book takes quantum computing out of the realm of theoretical physics and teaches the fundamentals of the field to students and professionals who have not had training in quantum computing or quantum information theory, including computer scientists, programmers, electrical engineers, mathematicians, physics students, and chemists. The author cuts through the conventions of typical jargon-laden physics books and instead presents the material through his unique "how-to" approach and friendly, conversational style.

Readers will learn how to carry out calculations with explicit details and will gain a fundamental grasp of:
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Quantum mechanics
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Quantum computation
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Teleportation
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Quantum cryptography
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Entanglement
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Quantum algorithms
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Error correction

A number of worked examples are included so readers can see how quantum computing is done with their own eyes, while answers to similar end-of-chapter problems are provided for readers to check their own work as they learn to master the information.

Ideal for professionals and graduate-level students alike, Quantum Computing Explained delivers the fundamentals of quantum computing readers need to be able to understand current research papers and go on to study more advanced quantum texts.

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Title of Computers eBook: Quantum Computing Explained
Release Date: 12-14-2007
Publisher: IEEE Computer Society Press

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Parent title Quantum Computing Explained
Encrypted (DRM) Yes
SKU 9780470181362
File size 1843
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Quantum Computing Explained


Chapter One

A BRIEF INTRODUCTION TO INFORMATION THEORY

In this chapter we will give some basic background that is useful in the study of quantum information theory. Our primary focus will be on learning how to quantify information. This will be done using a concept known as entropy, a quantity that can be said to be a measure of disorder in physics. Information is certainly the opposite of disorder, so we will see how entropy can be used to characterize the information content in a signal and how to determine how many bits we need to reliably transmit a signal. Later these ideas will be tied in with quantum information processing. In this chapter we will also briefly look at problems in computer science and see why we might find quantum computers useful. This chapter won't turn you into a computer engineer, we are simply going to give you the basic fundamentals.

CLASSICAL INFORMATION

Quantum computation is an entirely new way of information processing. For this reason traditional methods of computing and information processing you are familiar with are referred to as classical information. For those new to the subject, we begin with a simple and brief review of how information is stored and used in computers. The most basic piece of information is called a bit, and this basically represents a yes-no answer to a question. To represent this mathematically, we use the fact that we're dealing with a two-state system and choose to represent information using base 2 or binary numbers. A binary number can be 0 or 1, and a bit c

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