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

Reviewing the results of your quantum circuit on Quantum Lab Notebooks

In this section, we'll conclude this chapter by running the circuit on a quantum simulator and a real device. We'll then review the results by following these steps:

  1. From the open Notebook, enter and run the following in the next empty cell:
    backend = Aer.get_backend('qasm_simulator')

    The preceding code generates a backend object that will connect to the specified simulator or device. In this case, we are generating a backend object linked to the QASM simulator.

  2. In the next empty cell, let's run the execute function. This function takes in three parameters—the circuit we wish to run, the backend we want to run it on, and how many shots we wish to execute. The returned object will be a job object with the contents of the executed circuit on the backend. The code for this can be seen here:
    job_simulator = execute(qc, backend, shots=1024)
  3. We now want to extract the results...