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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

5.13 Systems of linear equations

The two equations

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together are an example of a system of linear equations. On the left of the equal signs are linear expressions, and on the right are constants. In R2, these represent two lines. In general, two lines in R2 may be the same, be parallel and so never intersect, or intersect at a single point.

If we use subscripted variables, the same relationship might be expressed by

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We can further rewrite this in matrix and vector form as

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If we let

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then our system is simply Ax = b. This is a standard form for writing such systems of any dimension, and we call it a linear equation. linear$equation

Our goal may be to solve for all of x, learn only some of the xj, or understand some function f applied to x. If A is invertible, then

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In this case, there is one possible value for x. If A is not invertible, then there might be no solution or a vector space...

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