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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

Defining a matrix

Mathematicians define a matrix as simply a rectangular array that has m rows and n columns, like the one shown in the following screenshot:

Figure 2.2 – Model of a matrix with m rows and n columns

In math, matrices are written out a particular way. An example 4 × 5 matrix is shown in the following expression. Notice that it has four rows and five columns:

Figure 2.3 – Example of a 4 x 5 matrix

Notation

In math and quantum computing, matrix variable names are in capital letters, and each entry in a matrix is referred to by a lowercase letter that corresponds to the variable name with subscripts (aij). Subscript i refers to the row the entry is in and subscript j refers to the column it is in. The following formula shows this for a 3 × 3 matrix:

In our example matrix A, a22 = 1. What is a32? Hint—it's the only number that begins with the letter n.

Redefining...

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