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Quantum Computing Experimentation with Amazon Braket

You're reading from   Quantum Computing Experimentation with Amazon Braket Explore Amazon Braket quantum computing to solve combinatorial optimization problems

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800565265
Length 420 pages
Edition 1st Edition
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Author (1):
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Alex Khan Alex Khan
Author Profile Icon Alex Khan
Alex Khan
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Table of Contents (19) Chapters Close

Preface 1. Introduction
2. Section 1: Getting Started with Amazon Braket FREE CHAPTER
3. Chapter 1: Setting Up Amazon Braket 4. Chapter 2: Braket Devices Explained 5. Chapter 3: User Setup, Tasks, and Understanding Device Costs 6. Chapter 4: Writing Your First Amazon Braket Code Sample 7. Section 2: Building Blocks for Real-World Use Cases
8. Chapter 5: Using a Quantum Annealer – Developing a QUBO Function and Applying Constraints 9. Chapter 6: Using Gate-Based Quantum Computers – Qubits and Quantum Circuits 10. Chapter 7: Using Gate Quantum Computers – Basic Quantum Algorithms 11. Chapter 8: Using Hybrid Algorithms – Optimization Using Gate-Based Quantum Computers 12. Chapter 9: Running QAOA on Simulators and Amazon Braket Devices 13. Section 3: Real-World Use Cases
14. Chapter 10: Amazon Braket Hybrid Jobs, PennyLane, and other Braket Features 15. Chapter 11: Single-Objective Optimization Use Case 16. Chapter 12: Multi-Objective Optimization Use Case 17. Other Books You May Enjoy Appendix: Knapsack BQM Derivation

Reasons to get into Amazon Braket

  • Like some other platforms, Amazon Braket provides quantum circuit designers convenient access to a number of quantum computing devices through one framework. In the past, we had to use different SDKs and methods to access each device.
  • You might have an application that utilizes elastic compute resources, such as EC2, and want to extend that application to quantum computing in the future. Amazon Braket allows you to build extensions to your existing code that uses other Amazon services.
  • Amazon Braket contains some exclusive simulators, such as TN1, SV1, and DM1.
  • The Amazon Braket pay-per-use model can be useful when experimenting with and scaling quantum device usage.

There is a personal reason I have chosen to write this book. I have been teaching quantum computing and have had the opportunity to explain quantum computing concepts to many students. I want to share basic concepts with you that I hope will give you a practical understanding of how to eventually tackle business use cases through quantum computing by the end of this book.

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