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Learn Quantum Computing with Python and Q#

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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 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

Veröffentlicht in: Software
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Learn Quantum Computing with Python and Q#

  1. 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. 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. 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. 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. 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. 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.

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