Book contents
- Frontmatter
- Contents
- Preface
- Introduction
- 1 Complex Numbers
- 2 Complex Vector Spaces
- 3 The Leap from Classical to Quantum
- 4 Basic Quantum Theory
- 5 Architecture
- 6 Algorithms
- 7 Programming Languages
- 8 Theoretical Computer Science
- 9 Cryptography
- 10 Information Theory
- 11 Hardware
- Appendix A Historical Bibliography of Quantum Computing
- Appendix B Answers to Selected Exercises
- Appendix C Quantum Computing Experiments with MATLAB
- Appendix D Keeping Abreast of Quantum News: Quantum Computing on the Web and in the Literature
- Appendix E Selected Topics for Student Presentations
- Bibliography
- Index
Appendix E - Selected Topics for Student Presentations
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- Introduction
- 1 Complex Numbers
- 2 Complex Vector Spaces
- 3 The Leap from Classical to Quantum
- 4 Basic Quantum Theory
- 5 Architecture
- 6 Algorithms
- 7 Programming Languages
- 8 Theoretical Computer Science
- 9 Cryptography
- 10 Information Theory
- 11 Hardware
- Appendix A Historical Bibliography of Quantum Computing
- Appendix B Answers to Selected Exercises
- Appendix C Quantum Computing Experiments with MATLAB
- Appendix D Keeping Abreast of Quantum News: Quantum Computing on the Web and in the Literature
- Appendix E Selected Topics for Student Presentations
- Bibliography
- Index
Summary
Although its history is relatively recent, quantum computing is already, by all standards, a very broad area of research. There is simply no way we can cover anything more than a relatively small fraction of its interesting topics. There are also many fascinating themes that are not exactly part of quantum computing per se, but are nevertheless closely related to it.
In this appendix, we list a number of suggestions for further exploration, covering some items we omitted from our text. It is our sincere hope that students will find them useful for their presentations or perhaps inspire them to select others that they can discover on their own.
Note to the student: Now it is your turn! The best way to really learn something is to teach it. There is no substitute for spending hours preparing a lecture and getting ideas straight so that you can present them. Knowing that other people will be asking you questions and learning from you will force you to understand the material at a deeper level.
You are urged to choose a subject from an area that you find interesting. Much time and energy is going to be spent learning, understanding, and preparing, so you might as well enjoy your choice from the start.
- Type
- Chapter
- Information
- Quantum Computing for Computer Scientists , pp. 360 - 372Publisher: Cambridge University PressPrint publication year: 2008