Quantum computing for computer architects
Author(s)
Bibliographic Information
Quantum computing for computer architects
（Synthesis lectures on computer architecture, 13）
Morgan & Claypool, c2011
2nd ed
- : pbk
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Note
Includes bibliographical references (p. 171-188)
Description and Table of Contents
Description
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
by "Nielsen BookData"
