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Dancing with Qubits - Second Edition

You're reading from  Dancing with Qubits - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636754
Pages 684 pages
Edition 2nd Edition
Languages
Author (1):
Robert S. Sutor Robert S. Sutor
Profile icon Robert S. Sutor

Table of Contents (26) Chapters

Preface I Foundations
Why Quantum Computing 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

Dimensions

… from a purely mathematical point of view it’s just as easy to think in 11 dimensions, as it is to think in three or four.

Stephen Hawking

We are familiar with many properties of objects, such as lines and circles in two dimensions, and cubes and spheres in three dimensions. If I ask you how long something is, you might take out a ruler or a tape measure. When you take a photo, you rotate your camera or phone in three dimensions without thinking too much about it.

Alas, there is math behind all these actions. The notion of something existing in one or more dimensions, indeed even the idea of what a dimension is, must be made more formal if we are to perform calculations. This is the concept of vector spaces. The study of what they are and what you can do with them is linear algebra.

Linear algebra is essential to pure and applied mathematics, physics, engineering, and the parts of computer science and software engineering that deal with...

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