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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

5.11 Direct sums

Our treatment of vector spaces has alternated between the fairly concrete examples of R2 and R3 and the more abstract definition presented in section 5.2. I continue going back and forth with the fundamental idea of the direct sum of two vector spaces over the same field F. direct sum vector space$direct sum ⊕ (direct sum)

In a vague and neither concrete nor abstract sense, a direct sum is when you push two vector spaces together. It’s one of the ways you can construct a new vector space from existing ones.

Let V and W be two vector spaces of dimensions n and m over F. If we write v = (v1, v2, …, vn) and w = (w1, w2, …, wm), then

Displayed math

in the direct sum vector space VW. It has dimension n + m.

All the requirements regarding addition and scalar multiplication follow directly from this definition because we perform those operations coordinate by coordinate. We’...

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