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Dancing with Python

You're reading from   Dancing with Python Learn to code with Python and Quantum Computing

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801077859
Length 744 pages
Edition 1st Edition
Languages
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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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Table of Contents (29) Chapters Close

Preface 1. Chapter 1: Doing the Things That Coders Do 2. Part I: Getting to Know Python FREE CHAPTER
3. Chapter 2: Working with Expressions 4. Chapter 3: Collecting Things Together 5. Chapter 4: Stringing You Along 6. Chapter 5: Computing and Calculating 7. Chapter 6: Defining and Using Functions 8. Chapter 7: Organizing Objects into Classes 9. Chapter 8: Working with Files 10. PART II: Algorithms and Circuits
11. Chapter 9: Understanding Gates and Circuits 12. Chapter 10: Optimizing and Testing Your Code 13. Chapter 11: Searching for the Quantum Improvement 14. PART III: Advanced Features and Libraries
15. Chapter 12: Searching and Changing Text 16. Chapter 13: Creating Plots and Charts 17. Chapter 14: Analyzing Data 18. Chapter 15: Learning, Briefly 19. References
20. Other Books You May Enjoy
21. Index
Appendices
1. Appendix A: Tools 2. Appendix B: Staying Current 3. Appendix C: The Complete UniPoly Class
4. Appendix D: The Complete Guitar Class Hierarchy
5. Appendix E: Notices 6. Appendix F: Production Notes

3.7 Nested comprehensions

You can nest comprehensions to create lists within lists. Our task in this section is to explore several ways of making this list of four lists, each of which has four numbers:

Creating an identity matrix

On the left is the list of lists, and on the right is a matrix. In particular, it is a 4 by 4 identity matrix, as you see in linear algebra. The matrix is diagonal: the only non-zero entries are on the main diagonal. Coders frequently use lists of lists to implement matrices in Python.

Linear algebra is at the heart of quantum computing and many other disciplines. For now, we look at how to build the list.

In this case, it is not onerous to type in the list, but we use matrices of size 2n by 2n in quantum computing. When n is 15, we get a 32768 by 32768 matrix, for example.

Let’s begin by creating a 4 by 4 list of lists filled with zeros.

m = [[0 for i in range(4)]...
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