ISBN: 9781617296130 - learn quantum computing with python and q#: a hands-on approach (19 resultados)

Paperback. Condición: Good. 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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Paperback. Condición: Good. 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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Paperback. Condición: New. 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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Paperback. Condición: new. Paperback. Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, youll 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 Microsofts Quantum Development Kit to abstract away the mathematical complexities. Youll 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 Waterloos 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 Waterloos 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. "For software developers. No prior experience with quantum computing required"--Back cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: New. 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. …

Condición: New. &Uumlber den AutorChristopher 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 Mic.

Taschenbuch. Condición: Neu. Neuware - 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.…

Paperback. Condición: new. Paperback. Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, youll 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 Microsofts Quantum Development Kit to abstract away the mathematical complexities. Youll 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 Waterloos 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 Waterloos 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. "For software developers. No prior experience with quantum computing required"--Back cover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. Learn Quantum Computing with Python and Q | A hands-on approach | Chris Granade (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Manning Publications | EAN 9781617296130 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…