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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
Appendix A: Resources

Understanding quantum and classical system interconnections

In this section, we'll review how the most quantum computational systems are integrated with classical systems. Since quantum computers do not have ways to store qubit information or any sort of quantum storage, there is a dependency on classical systems to provide persistent storage for information that is sent to or received from a quantum computer.

Since most data sources, whether they are from data repositories or remote sensors, originate from classical sources, there is a need to prepare the data to be used in a quantum system. Likewise, the results from the quantum systems need to be returned, not in a quantum state but in binary form, so that they can be read back to a classical system for any post-processing that's required.

This hybrid or interconnectivity between classic systems and quantum systems is what we will be reviewing in this section so that you understand how both systems work together...

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