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Key benefits

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

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.

Who is this book 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.

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

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Frequently bought together

Quantum Computing Experimentation with Amazon Braket

£38.99

Quantum Machine Learning and Optimisation in Finance

£44.99

Essential Mathematics for Quantum Computing

£22.99

Total £ 106.97

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N/A Feb 13, 2024

Valido supporto per chi ha interesse ad approfondire la materia. Notevole

Feefo Verified review

Vishal Nov 28, 2023

The book's hands-on approach simplifies complex concepts, offering practical insights into quantum algorithms. Clear explanations, code examples, and a focus on real-world optimization make it a valuable resource. Highly recommend for those wanting to harness quantum speedup effectively!

Amazon Verified review

Sanjay Basu, PhD Sep 11, 2022

I like that the book started with how to set up Braket, beginning with how to create an AWS account, and how to set up ancillary AWS services like S3 and Notebook. There are enough examples to try for first-time users. While running the experiments, the reader can delve into the background of the devices, like annealing-based ones or those based on quantum gates. Chapter 3 details the tasks setups, device costs, and billing. Chapter 4 gets the reader writing their first quantum experiments using Braket codes. Chapters 5, 6, and 7 focus on developing codes for Quantum Annealer, Gate-based quantum computing use cases. Chapter 8 deals with Hybrid Algorithms and optimization, while chapter 9 explains how to run QAQA on simulators, particularly on Amazon Braket devices. Examples include optimizing an 11x11 matrix, 34x34 matrix, and 38x38 sparse matrix. Section 3, chapters 10 through 12, delve into real-world use cases like single-objective and multi-objective optimization.I can say that in 2 weeks, by following this book as a guide, I am very comfortable navigating and writing code for quantum experiments using Amazon Braket. I highly recommend this book and hope Alex will continue to update the contents as new features (and backend devices) are added to the Amazon Braket Service.

Tony Holdroyd Aug 30, 2022

This thorough and engaging book opens with a detailed account of the various ways of working with Amazon Braket, in particular leveraging AWS. Next we are treated to a study of the various hardware devices that Braket runs on, including D-Wave, IonQ, Rigetti, Oxford circuits and simulators. This is followed by a discussion the fine points of how to work with these devices, including the important topic of costs. A major strength of the book, and an unusual feature, is that before addressing the standard topics of working with qubits and algorithms for gate-based computers, the author delivers a fine exposition of the use of a quantum annealerQuantum computing is then discussed in the practical terms of a fascinating range of real-world use cases.The quantum computing revolution is approaching, and this enthralling book should do much to bring the potential and power of Amazon Braket to a wide audience.

Naren Sathishkumar Jan 16, 2023

As a high-school student exploring the realm of quantum computing, almost all online content is befuddling or too advanced: I haven't really touched the higher levels of linear algebra, nor am I an expert in quantum mechanics. I have a novice-level understanding of the math and physics behind quantum computing. As such, I've stuck with the software side of things since my introduction to quantum around 3 years ago. Alex was a great mentor for me throughout my quantum journey, as he taught me, in a summer enrichment course through Harrisburg University, the basics of quantum: from what a qubit was to the implementation of Shor's algorithm. Without his help, I would have never gotten where I was.This book is both an amazing introduction to the realm of quantum software, and also a great resource to refer to when working in the quantum software field. Currently, I am researching the Quantum Approximate Optimization Algorithm, and Alex's book has been an invaluable resource as I navigate this difficult concept. From creating the BQMs to applying them to the algorithm --- It's all in here! I would definitely recommend the book to anyone even remotely interested in the field of quantum software. I've read many books on quantum throughout these past few years, and none come close to the information and reliability on the topic of Amazon Braket and quantum software in general that this piece provides. It is invaluable, and definitely worth the pick-up.- Naren Sathishkumar, a high-schooler in quantum

Quantum Computing Experimentation with Amazon Braket: Explore Amazon Braket quantum computing to solve combinatorial optimization problems

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