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Programming Quantum Computers : Essential Algorithms and Code Samples by Eric R. Johnston, Mercedes Gimeno-Segovia and Nic Harrigan (2019, Trade Paperback)
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101492039683
ISBN-139781492039686
eBay Product ID (ePID)14038623085
Product Key Features
Number of Pages333 Pages
Publication NameProgramming Quantum Computers : Essential Algorithms and Code Samples
LanguageEnglish
SubjectMathematical & Statistical Software, Computer Science
Publication Year2019
TypeTextbook
Subject AreaComputers
AuthorEric R. Johnston, Mercedes Gimeno-Segovia, Nic Harrigan
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight20.5 Oz
Item Length9.4 in
Item Width7.6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2020-301498
Dewey Edition23
IllustratedYes
Dewey Decimal006.3843
SynopsisQuantum computers are poised to kick-start a new computing revolution--and you can join in right away. If you're in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer's guide to understanding quantum computing. Rather than labor through math and theory, you'll work directly with examples that demonstrate this technology's unique capabilities. Quantum computing specialists Eric Johnston, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You'll understand what quantum computers can do and learn how to identify the types of problems they can solve. This book includes three multichapter sections: Programming for a QPU --Explore core concepts for programming quantum processing units, including how to describe and manipulate qubits and how to perform quantum teleportation. QPU Primitives --Learn algorithmic primitives and techniques, including amplitude amplification, the Quantum Fourier Transform, and phase estimation. QPU Applications --Investigate how QPU primitives are used to build existing applications, including quantum search techniques and Shor's factoring algorithm.
LC Classification NumberQA76.889
