Book description
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 realworld examples including cryptography and chemical analysis.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 finetune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games. You’ll learn to apply quantum to realworld 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 Authors
Dr. Sarah Kaiser works at the Unitary Fund, a nonprofit organization supporting the quantum opensource ecosystem, and is an expert in building quantum tech in the lab. Dr. Cassandra Granade works in the Quantum Systems group at Microsoft, and is an expert in characterizing quantum devices.
Quotes
Quantum computing is the next big thing and it’s happening now. You will need this book to get ahead of the game.
 Clive Harber, Distorted Thinking Ltd.
An excellent introductory book on quantum computing.
 Dimitri Denisjonok, Fyld
A handson guide to learning about quantum computing that will have you up and running in no time.
 Thomas Heiman, TechnoGems
A great introduction to quantum computing with great applications!
 William E. Wheeler, TekSystems
Publisher resources
Table of contents
 inside front cover
 Learn Quantum Computing with Python and Q#
 Copyright
 dedication
 contents
 front matter
 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 multiqubit 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?
 8.1 Classical and quantum algorithms
 8.2 Deutsch–Jozsa algorithm: Moderate improvements for searching
 8.3 Oracles: Representing classical functions in quantum algorithms
 8.4 Simulating the Deutsch–Jozsa algorithm in Q#
 8.5 Reflecting on quantum algorithm techniques
 8.6 Phase kickback: The key to our success
 Summary

9 Quantum sensing: It’s not just a phase
 9.1 Phase estimation: Using useful properties of qubits for measurement
 9.2 Userdefined types
 9.3 Run, snake, run: Running Q# from Python
 9.4 Eigenstates and local phases
 9.5 Controlled application: Turning global phases into local phases
 9.6 Implementing Lancelot’s best strategy for the phaseestimation game
 Summary
 Part 2: Conclusion
 Part 3. Applied quantum computing

10 Solving chemistry problems with quantum computers
 10.1 Real chemistry applications for quantum computing
 10.2 Many paths lead to quantum mechanics
 10.3 Using Hamiltonians to describe how quantum systems evolve in time
 10.4 Rotating around arbitrary axes with Pauli operations
 10.5 Making the change we want to see in the system
 10.6 Going through (very small) changes
 10.7 Putting it all together
 Summary
 11 Searching with quantum computers
 12 Arithmetic with quantum computers
 appendix A. Installing required software
 appendix B. Glossary and quick reference
 appendix C. Linear algebra refresher
 appendix D. Exploring the Deutsch–Jozsa algorithm by example
 index
Product information
 Title: Learn Quantum Computing with Python and Q#
 Author(s):
 Release date: July 2021
 Publisher(s): Manning Publications
 ISBN: 9781617296130
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