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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

Preface

Thank you for showing interest in this book, Quantum Computing Experimentation Using Amazon Braket. This is a niche topic; however, over the last few years, quantum computing has received considerable attention from governments who want to win the quantum race, investors who have poured massive amounts of money into quantum computing start-ups, and early adopters who are seeing it as a potential strategic advantage in the future. Accessing quantum computers through Amazon Braket is useful and important for several reasons. In the case of many quantum computing devices, either direct access is not possible or requires contract negotiations or minimum monthly payments. Amazon Braket removes all these issues by providing a relatively easy-to-learn integrated platform with pay-per-use access to popular quantum computing hardware.

The goal of this book is to help the reader gradually understand key concepts in quantum computing and get comfortable with experimenting with quantum circuits and practical optimization use cases through the Amazon Braket platform. We will also cover quantum annealing and get familiar with how to convert an optimization problem into a format or structure to run on a quantum annealer and gate-based quantum computer.

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