Book Image

Learn Quantum Computing with Python and IBM Quantum Experience

By : Robert Loredo
Book Image

Learn Quantum Computing with Python and IBM Quantum Experience

By: Robert Loredo

Overview of this book

IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you’ll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you’ll not only learn the differences between the various quantum computers but also the various simulators available. Later, you’ll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business.
Table of Contents (21 chapters)
Section 1: Tour of the IBM Quantum Experience (QX)
Section 2: Basics of Quantum Computing
Section 3: Algorithms, Noise, and Other Strange Things in Quantum World
Appendix A: Resources


  1. Create a filter that will return the least busy backend to run a quantum circuit that includes any constraint other than those covered in this book (Hint: use the backend.configuration() function to view other backend configuration variables).
  2. Can you name two components of the Transpiler?
  3. Which component allows you to specify the passes to use?
  4. What is the depth of a Toffoli gate when decomposed?
  5. Is there a difference between when decomposing a Toffoli gate using decompose() versus the Transpiler?
  6. What are the basis gates on the ibmq_santiago device?
  7. What are the five pass types?
  8. What is the default optimization_level value when running the execute() function?
  9. What are the default optimization_level values set for TrivialLayout and DenseLayout?