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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

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801073141
Length 252 pages
Edition 1st Edition
Languages
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Author (1):
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Leonard S. Woody III Leonard S. Woody III
Author Profile Icon Leonard S. Woody III
Leonard S. Woody III
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Table of Contents (20) Chapters Close

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 1. Appendix 2: Sigma Notation 2. Appendix 3: Trigonometry 3. Appendix 4: Probability 4. Appendix 5: References

Determinants

Determinants determine whether a square matrix is invertible. This is a huge help to us, as we will see. In the literature, you will see either a function abbreviation for the determinant or vertical bars, like so:

The determinant is a function from n × n to . In other words, it takes an n × n square matrix as input and spits out a scalar. For a 1 × 1 matrix, the determinant is just the number (easy enough). For a 2 × 2 matrix, this is the formula. You should probably just commit it to memory if you can:

I will give you exercises at the end of this section to help with the memorization part, which will also give you a feel for the determinant itself.

There is a method for calculating determinants for bigger matrices, but it is rather involved, and once you've mastered 2 × 2 matrices, I would suggest using a matrix calculator. It's just like arithmetic; you should...

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