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About this book
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
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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Yes, you can access Quantum Programming in Depth by Mariia Mykhailova in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.
Information
Edition
0Subtopic
ProgrammingTable of contents
- Quantum Programming in Depth
- copyright
- contents
- preface
- acknowledgments
- about this book
- about the author
- about the cover illustration
- 1 Quantum computing: The hype and the promise
- Part 1 Building your own library
- 2 Preparing quantum states
- 3 Implementing quantum operations
- Part 2 Learning information about a quantum system
- 4 Analyzing quantum states
- 5 Analyzing quantum operations
- Part 3 Solving a classical problem using a quantum algorithm
- 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
- appendix A Setting up your environment