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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

More Numbers Than You Can Imagine

The methods of theoretical physics should be applicable to all those branches of thought in which the essential features are expressible with numbers.

Paul Dirac, 1933 Nobel Prize Banquet Speech

People use numbers for counting, percentages, ratios, prices, math homework, taxes, and other practical applications.

Displayed math

These are all examples of real numbers. In this chapter, we look at the properties and operations of real numbers, especially those of subsets such as the integers. We extend those properties and operations to other collections, such as the complex numbers, that are core to understanding quantum computing.

For example, we define a quantum bit, or qubit, as a pair of complex numbers with additional properties. We begin to lay the foundation for the algebraic side of quantum computing. In the next chapter, we’ll turn to geometry.

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