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Autor(en): 
  • Sarah Kaiser
  • Sarah C. Kaiser
  • Chris Granade
  • Learn Quantum Computing with Python and Q# 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2021  
    Genre:  EDV / Informatik 
    ISBN:  9781617296130 
    EAN-Code: 
    9781617296130 
    Verlag:  Pearson Academic 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 186 mm / D 24 mm 
    Gewicht:  710 gr 
    Seiten:  300 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 cryptography and chemical analysis.

    Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

    About the technology

    Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft’s Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics.

    About the book

    Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Use Python to build your own quantum simulator and take advantage of Microsoft’s open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You’ll learn to apply quantum to real-world applications, such as sending secret messages and solving chemistry problems.

    What's inside

        The underlying mechanics of quantum computers
        Simulating qubits in Python
        Exploring quantum algorithms with Q#
        Applying quantum computing to chemistry, arithmetic, and data

    About the reader

    For software developers. No prior experience with quantum computing required.

    About the author

    Dr. Sarah Kaiser works at the Unitary Fund, a non-profit organization supporting the quantum open-source ecosystem, and is an expert in building quantum tech in the lab. Dr. Christopher Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices.

    Table of Contents

    PART 1 GETTING STARTED WITH QUANTUM
    1 Introducing quantum computing
    2 Qubits: The building blocks
    3 Sharing secrets with quantum key distribution
    4 Nonlocal games: Working with multiple qubits
    5 Nonlocal games: Implementing a multi-qubit simulator
    6 Teleportation and entanglement: Moving quantum data around
    PART 2 PROGRAMMING QUANTUM ALGORITHMS IN Q#
    7 Changing the odds: An introduction to Q#
    8 What is a quantum algorithm?
    9 Quantum sensing: It’s not just a phase
    PART 3 APPLIED QUANTUM COMPUTING
    10 Solving chemistry problems with quantum computers
    11 Searching with quantum computers
    12 Arithmetic with quantum computers

      



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