Foundations of Quantum Programming, Second Edition provides a systematic exposition of the subject of quantum programming. Emphasis is placed on foundational concepts, methods, and techniques that can be widely used for various quantum programming models and languages. The book describes how programming methodologies developed for current computers can be extended for quantum computers, along with new programming methodologies that can effectively exploit the unique power of quantum computing. In addition, this resource introduces a chain of quantum programming models from sequential to parallel and distributed programming in the paradigm of superposition-of-data to the paradigm of superposition-of-programs.
Final content presents a series of logical and mathematical tools for verification and analysis of quantum programs, including invariant generation, termination analysis, and abstract interpretation.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Maße
Höhe: 275 mm
Breite: 211 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-0-443-15942-8 (9780443159428)
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Schweitzer Klassifikation
Mingsheng Ying is currently Deputy Director for Research of the Institute of Software, Chinese Academy of Sciences; Director of the Centre for Quantum Software, Tsinghua University; and Hui Yan Chair Professor of Computer Science, Tsinghua University.
He has published three books and served on the editorial board of several publications, including Artificial Intelligence Journal (Elsevier). He is inaugural Editor-in-Chief of ACM Transactions on Quantum Computing.
He received an NSF China Distinguished Young Scholar Award (1997) and a China National Science Award in Natural Science (2008).
Autor*in
Deputy Director for Research, Institute of Software, Chinese Academy of Sciences; Director, Centre for Quantum Software, Tsinghua University; and Hui Yan Chair Professor of Computer Science, Tsinghua University, China
1. Introduction
Part I Preliminaries
2. Quantum Mechanics
3. Models of Quantum Computation
4. Quantum Algorithms
Part II Sequential Quantum Programs
5. Quantum While-Programs
6. Quantum Hoare Logic
7. Analysis of Quantum Programs
Part III Parallel and Distributed Quantum Programs
8. Parallel Quantum Programs
9. Distributed Quantum Programs
Part IV Quantum Control Flows
10. Quantum Case Statements
11. Quantum Recursion
Part V Programming for Quantum Machine Learning
12. Quantum Machine Learning
13. Differential Quantum Programming
Part VI Appendices
Appendix
I: Omitted Proofs in Chapter 5
II: Omitted Proofs in Chapter 7
III: Omitted Proofs in Chapter 10