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Quantum Computing for Computer Architects, Second Edition by Tzvetan Metodi (Eng

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eBay item number:386679797812
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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783031006036
Type
NA
Publication Name
NA
ISBN
9783031006036
Book Title
Quantum Computing for Computer Architects, Second Edition
Book Series
Synthesis Lectures on Computer Architecture Ser.
Original Language
English
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Edition
2
Publication Year
2011
Format
Trade Paperback
Language
English
Illustrator
Yes
Author
Tzvetan Metodi, Arvin I. Faruque
Genre
Computers, Technology & Engineering
Topic
Systems Architecture / General, Electronics / Circuits / General
Item Weight
13.9 Oz
Item Width
7.5 in
Number of Pages
Xii, 192 Pages

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031006038
ISBN-13
9783031006036
eBay Product ID (ePID)
11057264612

Product Key Features

Original Language
English
Edition
2
Book Title
Quantum Computing for Computer Architects, Second Edition
Number of Pages
Xii, 192 Pages
Language
English
Publication Year
2011
Topic
Systems Architecture / General, Electronics / Circuits / General
Illustrator
Yes
Genre
Computers, Technology & Engineering
Author
Tzvetan Metodi, Arvin I. Faruque
Book Series
Synthesis Lectures on Computer Architecture Ser.
Format
Trade Paperback

Dimensions

Item Weight
13.9 Oz
Item Length
9.3 in
Item Width
7.5 in

Additional Product Features

Number of Volumes
1 vol.
Table Of Content
Introduction.- Basic Elements for Quantum Computation.- Key Quantum Algorithms.- Building Reliable and Scalable Quantum Architectures.- Simulation of Quantum Computation.- Architectural Elements.- Case Study: The Quantum Logic Array Architecture.- Programming the Quantum Architecture.- Using the QLA for Quantum Simulation: The Transverse Ising Model.- Teleportation-Based Quantum Architectures.- Concluding Remarks.
Synopsis
Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy, it is not too early to consider their scalability and reliability in the context of the design of large-scale quantum computers. To architect such systems, one must understand what it takes to design and model a balanced, fault-tolerant quantum computer architecture. The goal of this lecture is to provide architectural abstractions for the design of a quantum computer and to explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation. In this lecture, we provide an engineering-oriented introduction to quantum computation with an overview of the theory behind key quantum algorithms. Next, we look at architectural case studies based upon experimental data and future projections for quantum computation implemented using trapped ions. While we focus here on architectures targeted for realization using trapped ions, the techniques for quantum computer architecture design, quantum fault-tolerance, and compilation described in this lecture are applicable to many other physical technologies that may be viable candidates for building a large-scale quantum computing system. We also discuss general issues involved with programming a quantum computer as well as a discussion of work on quantum architectures based on quantum teleportation. Finally, we consider some of the open issues remaining in the design of quantum computers. Table of Contents: Introduction / Basic Elements for Quantum Computation / Key Quantum Algorithms / Building Reliable and Scalable Quantum Architectures / Simulation of Quantum Computation / Architectural Elements / Case Study: The Quantum Logic Array Architecture / Programming the Quantum Architecture / Using the QLA for Quantum Simulation: The Transverse Ising Model / Teleportation-Based Quantum Architectures / Concluding Remarks, Quantum computers can (in theory) solve certain problems far faster than a classical computer running any known classical algorithm. While existing technologies for building quantum computers are in their infancy, it is not too early to consider their scalability and reliability in the context of the design of large-scale quantum computers. To architect such systems, one must understand what it takes to design and model a balanced, fault-tolerant quantum computer architecture. The goal of this lecture is to provide architectural abstractions for the design of a quantum computer and to explore the systems-level challenges in achieving scalable, fault-tolerant quantum computation. In this lecture, we provide an engineering-oriented introduction to quantum computation with an overview of the theory behind key quantum algorithms. Next, we look at architectural case studies based upon experimental data and future projections for quantum computation implemented using trapped ions. While we focus here on architectures targeted for realization using trapped ions, the techniques for quantum computer architecture design, quantum fault-tolerance, and compilation described in this lecture are applicable to many other physical technologies that may be viable candidates for building a large-scale quantum computing system. We also discuss general issues involved with programming a quantum computer as well as a discussion of work on quantum architectures based on quantum teleportation. Finally, we consider some of the open issues remaining in the design of quantum computers. Table of Contents: Introduction / Basic Elements for Quantum Computation / Key Quantum Algorithms / Building Reliable and Scalable Quantum Architectures / Simulation of Quantum Computation / Architectural Elements / Case Study: The Quantum Logic Array Architecture / Programming the Quantum Architecture / Using the QLA for Quantum Simulation: The Transverse Ising Model / Teleportation-Based Quantum Architectures/ Concluding Remarks
LC Classification Number
TK7867-7867.5

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