Programming quantum computers : essential algorithms and code samples / Eric R. Johnson, Nic Harrigan, and Mercedes Gimeno-Segovia.
Material type: TextPublication details: United States of America, O'Reilly 2019.Edition: 1st editionDescription: xiii, 317 p. illustrations (some color) ; 24 cmISBN:- 1492039683
- 9789352138678
- 9781492039686
- 006.3843 JOH/P
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Computer Science | Non Fiction | 006.3843 JOH/P (Browse shelf(Opens below)) | Available | 5890 |
Browsing Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre shelves, Shelving location: Computer Science, Collection: Non Fiction Close shelf browser (Hides shelf browser)
006.33 HUR/C Cognitive computing and big data analytics | 006.332 BRA/K Knowledge representation and reasoning | 006.35 GOY/D Deep learning for natural language processing: Creating neural networks with Python | 006.3843 JOH/P Programming quantum computers : essential algorithms and code samples / | 006.66 TEL/D Data visualization: Principles and practice | 006.69 KOG/C Coreldraw X5: In simple steps | 006.693 PEA/T 3D imaging, analysis and applications |
Includes bibliographical references and index.
Quantum computers are poised to kick-start a new computing revolution, and you can join in right away. If you're in software engineering, computer graphics, data science, or just an intrigued computerphile, this book provides a hands-on programmer's guide to understanding quantum computing technology. Rather than labor through math and theory, you'll work directly with examples that demonstrate this technology's unique capabilities. Quantum computing specialists Eric Johnson, Nic Harrigan, and Mercedes Gimeno-Segovia show you how to build the skills, tools, and intuition required to write quantum programs at the center of applications. You'll understand what quantum computers can do and learn how to identify the types of problems they can solve.
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