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Quantum Computing: An Applied Approach / by Jack D. Hidary

By: Hidary, Jack D., autor
Material type: materialTypeLabelE-bookSeries: (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Cham : Springer International Publising, 2021Edition: Second edition 2021.Description: 1 recurso en línea (XXIII, 422 páginas) : 66 ilustraciones, 46 ilustraciones a color.ISBN: 9783030832742.Subject: Ordenadores cuánticosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
-Preface the the Second Edition -- Preface to the First Edition -- Acknowledgements -- Navigating this Book -- I. Foundations -- 1. Superposition, Entanglement and Reversibility -- 2. A Brief History of Quantum Computing -- 3. Qubits, Operators and Measurement -- 4. Complexity Theory -- II. 5. Building a Quantum Computer -- 6. Development Libraries for Quantum Computer Programming -- 7. Teleportation, Superdense Coding and Bell's Inequality -- 8. The Canon: Code Walkthroughs -- 9. Quantum Computing Methods -- 10. Applications and Quantum Supremacy -- III. Toolkit -- 11. Mathematical Tools for Quantum Computing I -- 12. Mathematical Tools for Quantum Computing II -- 13. Mathematical Tools for Quantum Computing III -- 14. Dirac Notation -- 15. Table of Quantum Operators and Core Circuits -- Works Cited -- Index.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.889 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.19122213
Total holds: 0

-Preface the the Second Edition -- Preface to the First Edition -- Acknowledgements -- Navigating this Book -- I. Foundations -- 1. Superposition, Entanglement and Reversibility -- 2. A Brief History of Quantum Computing -- 3. Qubits, Operators and Measurement -- 4. Complexity Theory -- II. 5. Building a Quantum Computer -- 6. Development Libraries for Quantum Computer Programming -- 7. Teleportation, Superdense Coding and Bell's Inequality -- 8. The Canon: Code Walkthroughs -- 9. Quantum Computing Methods -- 10. Applications and Quantum Supremacy -- III. Toolkit -- 11. Mathematical Tools for Quantum Computing I -- 12. Mathematical Tools for Quantum Computing II -- 13. Mathematical Tools for Quantum Computing III -- 14. Dirac Notation -- 15. Table of Quantum Operators and Core Circuits -- Works Cited -- Index.

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.

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