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Quantum Computing Algorithms

You're reading from  Quantum Computing Algorithms

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781804617373
Pages 342 pages
Edition 1st Edition
Languages
Author (1):
Barry Burd Barry Burd
Profile icon Barry Burd

Table of Contents (19) Chapters

Preface 1. Introduction to Quantum Computing 2. Part 1 Nuts and Bolts
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

Matrix representation of bits and gates

For an inkling of the way matrices work in computer logic, we introduce two new ways to represent bits:

  • In Dirac notation, the zero bit is |0, and the one bit is |1.

The | combination of characters is called a ket.

  • In vector notation, the zero bit is open parentheses table row 1 row 0 end table close parentheses, and the one bit is open parentheses table row 0 row 1 end table close parentheses.

These new ways to represent bits may seem cumbersome and redundant, but they’re really very helpful. If you like, think of the numbers in a vector as amounts ranging from zero to one. A vector’s top entry is an amount of zero-ness and the vector’s bottom entry is an amount of one-ness.

Figure 1.16 – The correspondence between vector notation and Dirac notation

Figure 1.16 – The correspondence between vector notation and Dirac notation

This business about all zero-ness and all one-ness will make more sense when you read about qubits in the next chapter.

Disclaimer

Most authors reserve kets and vectors for qubits (quantum bits). For...

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