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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

Working with the notebook service

Amazon Braket provides Jupyter Notebook and JupyterLab within the notebook section. For those not familiar with programming in Python, Jupyter Notebook provides an easy-to-use interface where you can clearly identify code and rich text sections to explain your code clearly.

Some users will find using Braket notebooks easy to use as they are integrated with the Braket service and do not require the creation of an environment and loading of software libraries to get started. Additionally, the notebooks include Amazon Braket code examples for those who are already familiar with Python and quantum computing.

Starting the notebook service in Braket

The administrator must decide whether users are going to access the notebooks from within AWS Braket or only submit jobs using the remote method via Boto3. Amazon Braket examples are available when the Jupyter Notebook or JupyterLab is created. These notebooks can also be found on GitHub at https:...

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