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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

Random variables

An important concept in probability is a random variable. Oftentimes, we are not interested in the actual outcome of an experiment but some function of the outcome. For instance, let's define the function S to be the number of tails when flipping two coins. We know that Ω is {(H,H), (H,T), (T,H), (T,T)} where H stands for heads and T stands for tails. We also know that the probability of each of these outcomes is 1/4th. However, I want to know the amount of tails in my outcomes, which I define as this:

If I define S to be a random variable, then:

In general, random variables are written with capital letters such as X, Y, and Z. Random variables are functions from the sample space Ω to a measurable space, which is not a trivial thing. Fortunately for us, for most of our random variables, the measurable space will be the real numbers.

Discrete random variables

There are continuous and discrete...

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