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Learn Quantum Computing with Python and Q# - A hands-on approach (Paperback)
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Learn Quantum Computing with Python and Q# - A hands-on approach (Paperback)
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Learn Quantum Computing with Python and Q# demystifies quantum
computing. Using Python and the new quantum programming language
Q#, you'll learn QC fundamentals as you apply quantum programming
techniques to real-world examples including cryptography and
chemical analysis. Learn Quantum Computing with Python and Q#
builds your understanding of quantum computers, using Microsoft's
Quantum Development Kit to abstract away the mathematical
complexities. You'll learn QC basics as you create your own quantum
simulator in Python, then move on to using the QDK and the new Q#
language for writing and running algorithms very different to those
found in classical computing. Key Features * The underlying
mechanics of how quantum computers work * How to simulate qubits in
Python * Q# and the Microsoft Quantum Developer Kit * How to apply
quantum algorithms to real-world examples For readers with basic
programming skills and some experience of linear algebra, calculus
and complex numbers. About the technology Quantum computing is the
next step in computing power and scalability, with the potential to
impact everything from data science to information security. Using
qubits, the fundamental unit of quantum information, quantum
computers can solve problems beyond the scale of classical
computing. Software packages like Microsoft's Quantum Development
Kit and the Q# language are now emerging to give programmers a
quick path to exploring quantum development for the first time.
Christopher Granade completed his PhD in physics (quantum
information) at the University of Waterloo's Institute for Quantum
Computing, and now works in the Quantum Architectures and
Computation (QuArC) group at Microsoft. He works in developing the
standard libraries for Q# and is an expert in the statistical
characterization of quantum devices from classical data.
Previously, Christopher helped Scott Aaronson prepare lectures into
his recent book, Quantum Computing Since Democritus. Sarah Kaiser
completed her PhD in physics (quantum information) at the
University of Waterloo's Institute for Quantum Computing. She has
spent much of her career developing new quantum hardware in the
lab, from satellites to hacking quantum cryptography hardware.
Communicating what is so exciting about quantum is her passion, and
she loves finding new demos and tools to help enable the quantum
community to grow. When not at the keyboard, she loves kayaking and
writing books about engineering for kids.
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