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  • Book Overview & Buying Learn Quantum Computing with Python and IBM Quantum Experience
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Learn Quantum Computing with Python and IBM Quantum Experience

Learn Quantum Computing with Python and IBM Quantum Experience

By : Robert Loredo
4.5 (19)
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Learn Quantum Computing with Python and IBM Quantum Experience

Learn Quantum Computing with Python and IBM Quantum Experience

4.5 (19)
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)
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1
Section 1: Tour of the IBM Quantum Experience (QX)
5
Section 2: Basics of Quantum Computing
9
Section 3: Algorithms, Noise, and Other Strange Things in Quantum World
18
Assessments
1
Appendix A: Resources

Using Aqua utilities to simplify your work

Aqua comes with a sizeable set of utilities that offer some great functionality that simplifies generating your applications. In this section, we will implement a few utilities that may be useful, particularly when integrating your quantum applications with classical applications. We'll start with a simple converter from decimal into binary:

  1. First, we'll import the utils module and convert the decimal number 6 into binary:
    # Import the utils module
    from qiskit.aqua import utils 
    # convert the number 6 from decimal to binary
    binary_value = utils.decimal_to_binary(6, max_num_digits=0)
    print('Binary result: ', binary_value)

    The preceding code will print out the binary result of the value 6:

    Binary result: 110
  2. Next, we need to create some random unitary values. This will take the specified dimension value, N, as its argument to create a random N x N unitary matrix. This can be especially useful if you want to apply...
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Learn Quantum Computing with Python and IBM Quantum Experience
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