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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

Epilogue – what does have to do with Grover’s algorithm?

When you run Grover’s algorithm, the optimal number of iterations is {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mfrac><mi>&#x3C0;</mi><mn>4</mn></mfrac><msqrt><mi>N</mi></msqrt></mstyle></math>"}, where {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mi>N</mi></mstyle></math>"} is the number of things you’re searching through. In this formula, you have {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mi>n</mi></mstyle></math>"} qubits and {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mi>N</mi><mo>&#xA0;</mo><mo>=</mo><mo>&#xA0;</mo><msup><mn>2</mn><mi>n</mi></msup></mstyle></math>"}.

Usually, the formula requires a few tweaks. For example, you can’t use the formula to search through exactly 1,000 items, because 1,000 isn’t a power of 2. Instead, you add 24 fake items to your list. Then, you use 10 qubits to search through {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><msup><mn>2</mn><mn>10</mn></msup><mo>&#xA0;</mo><mo>=</mo><mo>&#xA0;</mo><mn>1024</mn></mstyle></math>"} items. And what if {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mfrac><mi>&#x3C0;</mi><mn>4</mn></mfrac><msqrt><mi>N</mi></msqrt></mstyle></math>"} isn’t an integer? The value of {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mfrac><mi>&#x3C0;</mi><mn>4</mn></mfrac><msqrt><mn>1024</mn></msqrt></mstyle></math>"} is approximately 25.1327, and you can’t apply the Grover iterate 25.1327 times. In this case, there are ways to decide whether Grover’s sweet spot is 25 or 26, but we won’t get into that here.

In this section, our goal is to convey some idea of the role {"mathml":"<math style=\"font-family:stix;font-size:16px;\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle mathsize=\"16px\"><mfrac><mi>&#x3C0;</mi><mn>4</mn></mfrac></mstyle></math>"} plays in the number of Grover iterate applications. Our explanation has many gaps and involves several approximations. We won’t come to...

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