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High-level structures for quantum computing
Author
Title
High-level structures for quantum computing [electronic resource] / Jarosaw Adam Miszczak.
ISBN
9781608458523 (electronic bk.)
9781608458516 (pbk.)
Published
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2012.
Physical Description
1 online resource (xv, 113 p.) : ill., digital file.
Local Notes
Access is available to the Yale community.
Notes
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Title from PDF t.p. (viewed on June 13, 2012).
Access and use
Access restricted by licensing agreement.
Summary
This book is concerned with the models of quantum computation. Information processing based on the rules of quantum mechanics provides us with new opportunities for developing more efficient algorithms and protocols. However, to harness the power offered by quantum information processing it is essential to control the behavior of quantum mechanical objects in a precise manner.As this seems to be conceptually difficult at the level of quantum states and unitary gates, high-level quantum programming languages have been proposed for this purpose. The aim of this book is to provide an introduction to abstract models of computation used in quantum information theory. Starting from the abstract models of Turing machine and finite automata, we introduce the models of Boolean circuits and Random Access Machine and use them to present quantum programming techniques and quantum programming languages.
Other formats
Also available in print.
Print version:
Format
Books / Online
Language
English
Added to Catalog
April 24, 2013
Series
Synthesis lectures on quantum computing, # 6
System details note
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Bibliography
Includes bibliographical references (p. 97-111).
Contents
1. Introduction
1.1 Computability
1.2 Quantum information theory
1.3 Programming languages
2. Turing machines
2.1 Classical Turing machine
2.2 Nondeterministic and probabilistic computation
2.3 Quantum Turing machine
2.4 Modifications of the base model
2.4.1 Generalized quantum Turing machine
2.4.2 Classically controlled quantum Turing machine
2.5 Quantum complexity
2.6 Fantasy quantum computing
2.7 Summary
3. Quantum finite state automata
3.1 Finite automata
3.1.1 Deterministic finite automata
3.1.2 Nondeterministic finite automata
3.1.3 Probabilistic automata
3.2 Quantum finite automaton
3.2.1 Measure-once quantum finite automaton
3.2.2 Measure-many quantum finite automaton
3.3 Quantum languages
3.4 Summary
4. Computational circuits
4.1 Boolean circuits
4.2 Reversible circuits
4.2.1 Universal reversible gates
4.3 Quantum circuits
4.4 Summary
5. Random access machines
5.1 Classical RAM model
5.1.1 Elements of the model
5.1.2 RAM-ALGOL
5.2 Quantum RAM model
5.3 Quantum pseudocode
5.3.1 Elements of quantum pseudocode
5.3.2 Quantum conditions
5.3.3 Measurement
5.4 Summary
6. Quantum programming environment
6.1 Architecture components
6.2 Quantum intermediate representation
6.3 Quantum assembly language
6.4 Quantum physical operations language
6.5 XML-based representation of quantum circuits
6.5.1 Basic elements
6.5.2 External circuits
6.6 Summary
7. Quantum programming languages
7.1 Why study quantum programming languages?
7.2 Quantum programming basics
7.3 Requirements for a quantum programming language
7.4 Basic features of existing languages
7.4.1 Imperative languages
7.4.2 Functional languages
7.5 Summary
8. Imperative quantum programming
8.1 QCL
8.1.1 Basic elements
8.1.2 Quantum memory management
8.1.3 Classical and quantum procedures and functions
8.1.4 Quantum conditions
8.2 LanQ
8.2.1 Basic elements
8.2.2 Process creation
8.2.3 Communication
8.2.4 Types
8.3 Summary
9. Functional quantum programming
9.1 Functional modelling of quantum computation
9.2 cQPL
9.2.1 Classical elements
9.2.2 Quantum elements
9.2.3 Quantum communication
9.3 QML
9.3.1 Program structure
9.3.2 Subroutines
9.4 Summary
10. Outlook
Bibliography
Author's biography.
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