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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

Installing and configuring Qiskit on your local machine

In this section, we will walk you through the installation process of Qiskit. The installation will include installing Anaconda, which is a distribution of Python, and many other data science packages. It also serves as a simple way to manage packages and how they are installed on your local machine. In our case, it will help by installing the prepackaged dependencies we will need, such as Python, Jupyter Notebooks, PIP, and many others. Once installed, you can create an environment specific to quantum development with all the dependencies and features already installed.

Preparing the installation

Qiskit is an open source project that is available for free to everyone. It is licensed under the Apache 2.0 license (https://apache.org/licenses/LICENSE-2.0). A copy has also been included in each Qiskit module (for example, https://www.github.com/Qiskit/qiskit/blob/master/LICENSE.txt). This allows you to use the source code,...

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Learn Quantum Computing with Python and IBM Quantum Experience
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