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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

Vector space

Now that we have covered all of the abstract concepts we need to understand, we can give a formal definition of a vector space, before looking at the implications of these in the following chapters.

A vector space is defined as having the following mathematical objects:

  1. An Abelian group V,+ with an identity element e. We call members of the set V vectors. We define the identity element to be the zero vector, and we denote this by 0. The operation + is called vector addition.
  2. A field {F, +, }. We say that V is a vector space over the field F, and we call the members of F scalars.

    The Zero Vector Is Not Denoted by |0

    It is important to note that we denote the zero vector with a bold zero – 0 – and it is totally different from the vector |0 we defined earlier in the book. This is the convention in quantum computing.

We can define an additional operation as scalar multiplication, which is an operation...

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