Quantum Programming in Depth Solving problems with Q# and Qiskit

[bookbestseller]

Quantum Programming in Depth
by Mariia Mykhailova
English | 2025 | ISBN: 163343690X | 320 pages | True EPUB | 11.15 MB

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 Depthtakes you beyond quantum basics and shows you how to take on practical quantum problem solving and programming using Q# and Qiskit. AuthorMariia Mykhailova, a principal quantum applications software developer at PsiQuantum, guides you every step of the way.
InQuantum Programming in Depthyou'll explore:
Algorithms to solve challenging quantum computing problemsWriting quantum programs with Q# and QiskitTesting quantum programs with simulators and specialized toolsEvaluating performance of quantum programs on future fault-tolerant quantum computers
Quantum Programming in Depthshows 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.
About the Technology
Going from the basic quantum concepts to developing software for quantum computers can be difficult! Algorithms that leverage quantum phenomena require new ways of thinking about computation and new approaches to writing code, testing it, and evaluating its performance. This book bridges the gap between QC theory and quantum programming in practice.
About the Book
Quantum Programming in Depthshows you how to solve quantum computing problems in a programmer-friendly way. The book's hands-on project-based approach will hone your quantum skills using realistic problems and progressively harder programming challenges. As you read, you'll design quantum algorithms and explore their performance on future fault-tolerant quantum computers.
What's InsideSolve challenging quantum computing problemsWrite quantum programs with Q# and QiskitTest quantum programsEvaluate performance of quantum programs
About the Readers
For students and software engineers who know Python and the basic concepts of quantum computing.
About the Author
Mariia Mykhailova is a principal quantum applications software developer at PsiQuantum.
Table of Contents
1 Quantum computing: The hype and the promise
Part 1
2 Preparing quantum states
3 Implementing quantum operations
Part 2
4 Analyzing quantum states
5 Analyzing quantum operations
Part 3
6 Evaluating classical functions on a quantum computer
7 Grover's search algorithm
8 Solving N queens puzzle using Grover's algorithm
9 Evaluating the performance of quantum algorithms
A Setting up your environment

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