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Dancing with Python

Dancing with Python

By : Robert S. Sutor
5 (7)
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Dancing with Python

Dancing with Python

5 (7)
By: Robert S. Sutor

Overview of this book

Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Table of Contents (29 chapters)
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2
Part I: Getting to Know Python
10
PART II: Algorithms and Circuits
14
PART III: Advanced Features and Libraries
19
References
20
Other Books You May Enjoy
1
Appendices
4
Appendix C: The Complete UniPoly Class
5
Appendix D: The Complete Guitar Class Hierarchy
7
Appendix F: Production Notes

9.9 Summary

This chapter explored the gate and circuit foundation of classical computing. It showed how low-level coders could build bit addition and higher-level functions. From there, we moved to quantum gates and circuits. While we used the same words, the programming models are fundamentally different. In particular, superposition and entanglement give us behavior and tools that are not available using classical techniques alone.

In the next chapter, we look at techniques to test and optimize your code, be it classical or quantum. We saw some of this already when we used Qiskit’s transpile function to optimize quantum gates for general and hardware-specific use.

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Dancing with Python
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