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  • Book Overview & Buying Quantum Computing Experimentation with Amazon Braket
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Quantum Computing Experimentation with Amazon Braket

Quantum Computing Experimentation with Amazon Braket

By : Alex Khan
4.9 (9)
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Quantum Computing Experimentation with Amazon Braket

Quantum Computing Experimentation with Amazon Braket

4.9 (9)
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)
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1
Introduction
Lock 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

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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