Book Image

Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®

By : Hassi Norlen
5 (1)
Book Image

Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®

5 (1)
By: Hassi Norlen

Overview of this book

IBM Quantum Experience® is a leading platform for programming quantum computers and implementing quantum solutions directly on the cloud. This book will help you get up to speed with programming quantum computers and provide solutions to the most common problems and challenges. You’ll start with a high-level overview of IBM Quantum Experience® and Qiskit®, where you will perform the installation while writing some basic quantum programs. This introduction puts less emphasis on the theoretical framework and more emphasis on recent developments such as Shor’s algorithm and Grover’s algorithm. Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. You’ll cover these packages in detail, exploring their benefits and use cases. Later, you’ll discover various quantum gates that Qiskit® offers and even deconstruct a quantum program with their help, before going on to compare Noisy Intermediate-Scale Quantum (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual hardware. Finally, you’ll explore quantum algorithms and understand how they differ from classical algorithms, along with learning how to use pre-packaged algorithms in Qiskit® Aqua. By the end of this quantum computing book, you’ll be able to build and execute your own quantum programs using IBM Quantum Experience® and Qiskit® with Python.
Table of Contents (12 chapters)

Comparing the Qiskit Aer simulator with an IBM quantum computer

In this recipe, we will create a long quantum circuit that swaps a state between two qubits. You will see that the circuit provides perfect results on your local Qiskit Aer simulator but not quite so perfect results on an actual IBM Quantum® machine.

Getting ready

The sample code for this recipe can be found here:

How to do it...

Here's the code, stored in the file:

  1. As always, start by importing the required classes and methods and load your account:
    # Import Qiskit
    from qiskit import QuantumCircuit
    from qiskit import Aer, IBMQ, execute
    # Import visualization tools
    from import plot_histogram
    from import job_monitor
    # Load account
    if not IBMQ.active_account():