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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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Toc

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

5.2 Vector spaces

The last section introduced several ideas about vector spaces using familiar notions from R2 and C. It’s time to generalize. vector space vector

Let F be a field, for example, Q, R, or C. Let V be a set of objects which we call vectors. We display vectors in bold such as v. F`bold

We are interested in defining vector addition and a special kind of multiplication called scalar multiplication. If s is in F, then we insist sv is in V for all v in V. The set V is closed under multiplication by scalars from the field F. While V may have some kind of multiplication defined between its elements, we do not need to consider it here.

For any v1 and v2 in V, we also insist v1 + v2 is in V and that the addition is commutative. Thus, V is closed under addition. V must have an identity element 0 and additive inverses so that V is a commutative additive group. group

V is almost a vector space over F, but we insist on a few more...

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