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Essential Mathematics for Quantum Computing

You're reading from Essential Mathematics for Quantum Computing A beginner's guide to just the math you need without needless complexities

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801073141

Length 252 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

Leonard S. Woody III

View More author details

Table of Contents (20) Chapters

Preface

1. Section 1: Introduction

2. Chapter 1: Superposition with Euclid FREE CHAPTER

3. Chapter 2: The Matrix

4. Section 2: Elementary Linear Algebra

5. Chapter 3: Foundations

6. Chapter 4: Vector Spaces

7. Chapter 5: Using Matrices to Transform Space

8. Section 3: Adding Complexity

9. Chapter 6: Complex Numbers

10. Chapter 7: EigenStuff

11. Chapter 8: Our Space in the Universe

12. Chapter 9: Advanced Concepts

13. Section 4: Appendices

14. Other Books You May Enjoy

Appendix 1: Bra–ket Notation

Operators

1. Appendix 2: Sigma Notation

2. Appendix 3: Trigonometry

3. Appendix 4: Probability

4. Appendix 5: References

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Summary

The field of probability is vast, but you now have the necessary tools to understand it as it applies to quantum computing. The foundation for understanding probability is the definitions we went through, and in quantum computing, it all revolves around random variables.

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Authors (1)

Leonard S. Woody III

Leonard S. Woody III

Leonard S. Woody III is a senior consultant with 20 years of experience explaining complex subjects to software development clients. For the last 3 years, he has worked at Microsoft, most currently as a program manager for Azure Quantum. He was awarded a BS in computer science and a BS in physics from the University of Virginia. He attained his MS in software engineering from George Mason University. Woody lives in Northern Virginia with his wife and four children. His biggest love is spending time with his family.

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