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. Learn more about the book here: https://bit.ly/2EFIAUA

1. Demystifying
Quantum
Computing
With Learn Quantum Computing with
Python and Q#. Take 42% off by entering
slkaiser into the discount code box at
checkout at manning.com.

2. An easy intro to Quantum Computing
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.

3. Start exploring quantum development
Quantum computing is the next step in computing power and scalability, with
the potential to impact everything from data science to information security.
Using Microsoft’s Quantum Development Kit to abstract away the
mathematical complexities, this book builds your understanding of quantum
computers by actively developing for them.

4. A hands-on guide
You’ll start by learning QC
fundamentals by creating your own
quantum simulator in Python,
before moving on to using the QDK
and the new Q# language for
writing and running quantum
algorithms.
When you’re finished you’ll be able
to apply quantum programming
techniques to applications like
quantum key distribution, and
tackle real-world examples such as
chemistry simulations and
searching unsorted databases.

5. Learn from two experts
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.
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 Research. He
works in developing Q#, a new programming language for writing quantum
algorithms, 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.

6. If you want to learn more
about the book, check it
out on liveBook here.
Take 42% off Learn Quantum Computing
with Python and Q# by entering slkaiser
into the discount code box at checkout at
manning.com.