Quantum computing: an applied approach
Material type:
TextPublication details: Switzerland Springer 2021 Edition: 2ndDescription: xxiii, 422 pISBN: 9783030832735Subject(s): Quantum computing | Computer software | Quantum computersDDC classification: 004.1 Summary: About this book
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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 004.1 HID (Browse shelf(Opens below)) | 1 | Available | 002922 |
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| 004.068 URB IT management in the digital age: a roadmap for the IT department of the future | 004.0684 OVE A guide to IT contracting: | 004.0684 TIW IT strategy for non-IT managers: | 004.1 HID Quantum computing: an applied approach | 004.16 NIS Elements of computing systems: | 004.165 WAD Advanced analytics in power BI with R and python: | 004.165 ZHO Learn data mining through excel: |
About this book
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.
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