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

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 quantum applications software developer at PsiQuantum, 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.

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 Depth shows 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 Inside

Solve challenging quantum computing problems

Write quantum programs with Q# and Qiskit

Test quantum programs

Evaluate 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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