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Dancing with Qubits

You're reading from   Dancing with Qubits From qubits to algorithms, embark on the quantum computing journey shaping our future

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636754
Length 684 pages
Edition 2nd Edition
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Author (1):
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Robert S. Sutor Robert S. Sutor
Author Profile Icon Robert S. Sutor
Robert S. Sutor
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Table of Contents (26) Chapters Close

Preface I Foundations
Why Quantum Computing FREE CHAPTER They’re Not Old, They’re Classics More Numbers Than You Can Imagine Planes and Circles and Spheres, Oh My Dimensions 6 What Do You Mean “Probably”? II Quantum Computing
One Qubit Two Qubits, Three Wiring Up the Circuits From Circuits to Algorithms Getting Physical III Advanced Topics
Considering NISQ Algorithms Introduction to Quantum Machine Learning Questions about the Future Afterword
A Quick Reference B Notices C Production Notes Other Books You May Enjoy
References
Index
Appendices

5.4 Matrices

If we write out the details of a linear transformation of a five-dimensional vector space over a field F, it looks like this: matrix

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This notation is not practical, especially if we start looking at the formulas for compositions of linear maps. Hence, we introduce matrices.

We begin with notation and then move on to the algebra.

5.4.1 Notation and terminology

This array of values with entries in the field F

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is a 3-by-4 matrix: it has three rows, four columns, and 12 = 3 × 4 entries. The dimension of this matrix is 3-by-4. matrix$dimension matrix$entry

When we need subscripts for the entries in a matrix, they look like this:

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for a 3-by-3 matrix. The first subscript is the row index, and the second is the column index. matrix$row index matrix$column index

In mathematics and physics, we use 1 as the first row or column index. In computer science and...

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