Book Image

Quantum Computing Experimentation with Amazon Braket

By : Alex Khan
5 (1)
Book Image

Quantum Computing Experimentation with Amazon Braket

5 (1)
By: Alex Khan

Overview of this book

Amazon Braket is a cloud-based pay-per-use platform for executing quantum algorithms on cutting-edge quantum computers and simulators. It is ideal for developing robust apps with the latest quantum devices. With this book, you'll take a hands-on approach to learning how to take real-world problems and run them on quantum devices. You'll begin with an introduction to the Amazon Braket platform and learn about the devices currently available on the platform, their benefits, and their purpose. Then, you'll review key quantum concepts and algorithms critical to converting real-world problems into a quantum circuit or binary quadratic model based on the appropriate device and its capability. The book also covers various optimization use cases, along with an explanation of the code. Finally, you'll work with a framework using code examples that will help to solve your use cases with quantum and quantum-inspired technologies. Later chapters cover custom-built functions and include almost 200 figures and diagrams to visualize key concepts. You’ll be able to scan the capabilities provided by Amazon Braket and explore the functions to adapt them for specific use cases. By the end of this book, you’ll have the tools to integrate your current business apps and AWS data with Amazon Braket to solve constrained and multi-objective optimization problems.
Table of Contents (19 chapters)
1
Introduction
Free Chapter
2
Section 1: Getting Started with Amazon Braket
7
Section 2: Building Blocks for Real-World Use Cases
13
Section 3: Real-World Use Cases

To get the most out of this book

The majority of the development can be done within the Amazon Braket Notebooks environment. However, the book will go over setting up the Amazon Braket SDK and Boto 3 so that the reader can run code remotely. It is expected the user is familiar with Jupyter Notebook and Python 3. This book only shows screenshots and steps in the Microsoft Windows environment.

Before getting started, please ensure you have working installations of Python and Jupyter Notebook. This can be done by installing the latest version of Anaconda from anaconda.org. Also, you will need to be comfortable creating a new environment either using Anaconda Navigator or directly from Anaconda Prompt.

What should you know before starting this book?

A basic awareness of quantum computing is helpful before reading this book. I have written this book for someone who has already taken some introductory quantum computing courses. Having said that, I will be going over all the necessary concepts and building blocks at a simple-to-understand and gradual pace to progress to optimization use cases using both quantum annealing and gate-based quantum computing.