Quantum Computing An Applied Approach

This book PDF is perfect for those who love Science genre, written by Jack D. Hidary and published by Springer Nature which was released on 29 September 2021 with total hardcover pages 422. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Quantum Computing An Applied Approach books below.

Quantum Computing  An Applied Approach
Author : Jack D. Hidary
File Size : 48,8 Mb
Publisher : Springer Nature
Language : English
Release Date : 29 September 2021
ISBN : 9783030832742
Pages : 422 pages
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Quantum Computing An Applied Approach by Jack D. Hidary Book PDF Summary

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition. This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates. Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.

Quantum Computing  An Applied Approach

This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training. The second edition includes extensive updates and revisions,

Get Book
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Explore the tools and concepts for Quantum Computing KEY FEATURES ● Offers a diverse range of perspectives from small businesses to multinational conglomerates on the potential of Quantum computing. ● Provides fundamental principles of quantum, optical, and DNA computing and artificial intelligence. ● Collection of hand-picked quantum computing-related frameworks, tools, and utilities for

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Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll build your own quantum simulator and apply quantum programming techniques to real-world examples including

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Quantum computing is on the horizon, ready to impact everything from scientific research to encryption and security. But you don't need a physics degree to get started in quantum computing. Quantum Computing for Developers shows you how to leverage your existing Java skills into writing your first quantum software so

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