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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

Transformations inspired by Euclid

In linear algebra, there are many "special" types of linear transformations that have names that connote concepts we have in our real world, such as reflections and projections. These concepts have been generalized to apply to all types of vectors, but the geometric description of them with Euclidean vectors gives us an idea as to why they work the way they do. This intuition can then be taken and applied to all types of vectors and vector spaces.

Translation

The first transform we will look at is translation. It transforms all vectors in a vector space by a displacement vector. More precisely:

In the following graph, the vector |x⟩ is translated to the right by |d⟩ to form T(|x⟩):

Figure 5.10 – A graphical depiction of translation

What's interesting about this type of translation is that it turns out to be non-linear! I will quickly show you.

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