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Dancing with Qubits

Dancing with Qubits

By : Robert S. Sutor
5 (24)
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Dancing with Qubits

Dancing with Qubits

5 (24)
By: Robert S. Sutor

Overview of this book

Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you. This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning. Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.
Table of Contents (26 chapters)
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1
I Foundations
8
II Quantum Computing
14
III Advanced Topics
18
Afterword
22
Other Books You May Enjoy
23
References
24
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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