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- Learn Quantum Computing with Python and Q#: A...
Learn Quantum Computing with Python and Q#: A hands-on approach
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- Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective.SummaryLearn 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.About the technologyQuantum 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 bookLearn 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 insideThe underlying mechanics of quantum computersSimulating qubits in PythonExploring quantum algorithms with Q#Applying quantum computing to chemistry, arithmetic, and dataAbout the readerFor software developers. No prior experience with quantum computing required.About the authorDr. 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 ContentsPART 1 GETTING STARTED WITH QUANTUM1 Introducing quantum computing2 Qubits: The building blocks3 Sharing secrets with quantum key distribution4 Nonlocal games: Working with multiple qubits5 Nonlocal games: Implementing a multi-qubit simulator6 Teleportation and entanglement: Moving quantum data aroundPART 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 phasePART 3 APPLIED QUANTUM COMPUTING10 Solving chemistry problems with quantum computers11 Searching with quantum computers12 Arithmetic with quantum computers
| Publisher | Manning |
| Publication date | June 22, 2021 |
| Language | English |
| Print length | 384 pages |
| ISBN-10 | 1617296139 |
| ISBN-13 | 978-1617296130 |
| Item Weight | 1.4 pounds (640 grams) |
| Dimensions | 7.38 x 0.8 x 9.25 inches (18.7 x 2 x 23.5 cm) |
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Learn Quantum Computing with Python and Q#: A hands-on approach
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