Quantum Programming in Depth: Solving Problems with Q# and Qiskit

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Bol Partner Go beyond the basics with this in-depth guide to quantum programming. From the back cover: Quantum Programming in Depth follows author Mariia Mykhailova's popular "quantum katas" approach to learning, honing your quantum skills with progressively harder programming challenges. You'll learn a repeatable workflow to solve QC problems. You'll dive into testing and debugging software using quantum simulators and how to evaluate the performance of quantum algorithms on fault-tolerant computers in a practical, code-based way. Each project in the book is based on the common quantum software development tasks or questions posed during quantum software engineering interviews. About the reader: For students and software engineers who know Python and the basic concepts of quantum computing. Go beyond the basics with this in-depth guide to quantum programming.Here's something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal software engineer at Microsoft Quantum, guides you every step of the way.In Quantum Programming in Depth you'll explore: Algorithms to solve challenging quantum computing problems Writing quantum programs with Q# and Qiskit Testing quantum programs with simulators and specialized tools Evaluating performance of quantum programs on future fault-tolerant quantum computers Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they're solved. You'll learn to write quantum programs using Qiskit and Q# —and even how to test your quantum code using common testing tools like pytest. You'll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more.

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Go beyond the basics with this in-depth guide to quantum programming. From the back cover: Quantum Programming in Depth follows author Mariia Mykhailova's popular "quantum katas" approach to learning, honing your quantum skills with progressively harder programming challenges. You'll learn a repeatable workflow to solve QC problems. You'll dive into testing and debugging software using quantum simulators and how to evaluate the performance of quantum algorithms on fault-tolerant computers in a practical, code-based way. Each project in the book is based on the common quantum software development tasks or questions posed during quantum software engineering interviews. About the reader: For students and software engineers who know Python and the basic concepts of quantum computing. Go beyond the basics with this in-depth guide to quantum programming.Here's something you already know: quantum computing is a deep subject. Quantum Programming in Depth takes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. Author Mariia Mykhailova, a principal software engineer at Microsoft Quantum, guides you every step of the way.In Quantum Programming in Depth you'll explore: Algorithms to solve challenging quantum computing problems Writing quantum programs with Q# and Qiskit Testing quantum programs with simulators and specialized tools Evaluating performance of quantum programs on future fault-tolerant quantum computers Quantum Programming in Depth shows you how to do quantum computing outside the lab or classroom, presenting problems of quantum programming and demonstrating how they're solved. You'll learn to write quantum programs using Qiskit and Q# —and even how to test your quantum code using common testing tools like pytest. You'll learn to prepare quantum states and implement operations, extract information from quantum states and operations, evaluate classical functions on a quantum computer, solve search problems, and more.


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  • 9781633436909
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