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    Quantum Computing Experimentation with Amazon Braket

    Posted By: Free butterfly
    Quantum Computing Experimentation with Amazon Braket

    Quantum Computing Experimentation with Amazon Braket: Explore Amazon Braket quantum computing to solve combinatorial optimization problems by Alex Khan, Matthew R. Versaggi
    English | July 29, 2022 | ISBN: 1800565267 | 420 pages | MOBI | 23 Mb

    Augment your quantum computing journey using Amazon Braket with in-depth details of how to use Braket devices, build quantum circuits, leverage quantum annealing and solve optimization problems

    Key Features
    Learn about various quantum devices and their use in solving combinatorial optimization problems
    Prepare your business to leverage the benefits of the future quantum speedup
    Implement quantum computing concepts through real-world optimization use cases
    Book Description
    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.

    What you will learn
    Explore the features and uses of the Amazon Braket console and components
    Discover the benefits of quantum computing devices available on Amazon Braket, including gate quantum computers, the annealer, and simulators
    Recognize which type of quantum device is the best fit for specific use cases and scaling
    Develop your own code from a basic set of use cases dealing with real-world optimization problems
    Understand the capabilities and limitations of current quantum computing technologies
    Explore the advanced features and API functions in Amazon Braket
    Who this book is for
    This book is for IT practitioners, architects, and developers looking to bring the power of quantum computing to their organizations. If you are a VP of IT, CIO, VP of architecture, chief architect, solution architect, actuarial fellow, or a developer already working on other AWS services such as AWS Lambda and EC2, you'll find this book useful in exploring how to leverage Amazon Braket for real-world use cases and to move your organization towards this emerging technology. Familiarity with the basics of quantum computing and Python is required.

    Table of Contents
    Setting Up Amazon Braket
    Braket Devices Explained
    User Setup, Tasks, and Understanding Device Costs
    Writing Your First Amazon Braket Code Sample
    Using a Quantum Annealer – Developing a QUBO Function and Applying Constraints
    Using Gate-Based Quantum Computers – Qubits and Quantum Circuits
    Using Gate Quantum Computers – Basic Quantum Algorithms
    Using Hybrid Algorithms – Optimization Using Gate-Based Quantum Computers
    Running QAOA on Simulators and Amazon Braket Devices
    Amazon Braket Hybrid Jobs, PennyLane, and Other Braket Features
    (N.B. Please use the Look Inside option to see further chapters)

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