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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

Basis

The word basis is used often in English speech and its colloquial definition is actually a good way to look at the word basis in linear algebra:

Basis, ba·sis \ ˈbā-səs \ plural bases\ ˈbā-ˌsēz \ Noun

Something on which something else is established or based. Example 1: Stories with little basis in reality. Example 2: No legal basis for a new trial.

The reason for this is that you can choose different bases for a vector space. While the vector space itself does not change when you choose a different basis, the way things are described with numbers does.

Let's look at an example in 2. Consider the vector |u, given as follows:

Figure 4.11 – Graph of the vector |u

Clearly, its coordinates are (3,3). What if I told you I could describe the same vector with the coordinates (3,0)? Wait a minute; that should disturb you. We never talk about the basis in most math...

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