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Quantum Computing Algorithms

You're reading from   Quantum Computing Algorithms Discover how a little math goes a long way

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804617373
Length 342 pages
Edition 1st Edition
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Author (1):
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Barry Burd Barry Burd
Author Profile Icon Barry Burd
Barry Burd
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introduction to Quantum Computing 2. Part 1 Nuts and Bolts FREE CHAPTER
3. Chapter 1: New Ways to Think about Bits 4. Chapter 2: What Is a Qubit? 5. Chapter 3: Math for Qubits and Quantum Gates 6. Chapter 4: Qubit Conspiracy Theories 7. Part 2 Making Qubits Work for You
8. Chapter 5: A Fanciful Tale about Cryptography 9. Chapter 6: Quantum Networking and Teleportation 10. Part 3 Quantum Computing Algorithms
11. Chapter 7: Deutsch’s Algorithm 12. Chapter 8: Grover’s Algorithm 13. Chapter 9: Shor’s Algorithm 14. Part 4 Beyond Gate-Based Quantum Computing
15. Chapter 10: Some Other Directions for Quantum Computing 16. Assessments 17. Index 18. Other Books You May Enjoy

Matrices in Python

Doing matrix operations by hand is tedious and error-prone, but you don’t have to do everything by hand. This section describes a nice alternative:

  1. If you haven’t already done so, follow steps 1 to 3 at the beginning of this chapter’s Jupyter notebooks section.
  2. In the upper-left corner of the page, click the New File button.
  3. In the resulting Launcher tab, click the Notebook | Qiskit button.

A new, empty Jupyter/Python notebook appears.

  1. In the empty cell, near the top of the notebook, type the following code, and then press Shift+Enter:
    import numpy as np

No output shows up on the screen, but behind the scenes, this statement makes a library named NumPy available to the code in your notebook. As the name suggests, NumPy deals with numbers and other mathematical concepts. From this point on, your code uses np as a nickname for NumPy.

Important note

The previous section (Copying this book’s code...

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