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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

6.7 Hellinger distance

This section examines how we can measure the similarity between two comparable collections using the concept of Hellinger distance. The idea is that if the two collections are “close to each other distance-wise,” they are similar. similarity$Hellinger distance

Consider the game of pool, played with a cue and solid and striped balls on a table. Suppose I have a large box and place one hundred yellow pool balls, one hundred red pool balls, one hundred blue pool balls, and one hundred purple pool balls in the box. I mix the balls thoroughly, so if I reach in and take out a ball, I have the same probability of getting one color as any other. That is, I have a uniform distribution of the balls.

I reach into the box and remove one hundred balls. I record the colors and the count of each:

Displayed math

I put the balls back in the box, stir them up well, and then you remove one hundred balls. Oddly, you pull out balls with the same...

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