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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

Chapter 12: Learning about Qiskit Aqua

All the Qiskit elements that we have covered so far have dealt with foundational circuits that implement various quantum algorithms. Others covered simulators, generating noise models, and mitigating errors. For researchers, it's a lot to ask them to learn all the inner workings just to generate a quantum algorithm to use in their application. In fact, it is rare to find those who want to wander down into the nuts and bolts of the quantum algorithm they want to use. Generally, they would like to just get their data loaded into an algorithm, execute it on a quantum system, obtain the results, and just continue with their experiments. This is where Aqua, short for Algorithms for Quantum Applications, comes into the big picture.

The following topics will be covered in this chapter:

  • Understanding the components and their usability
  • Using Aqua Utilities to simplify your work
  • Familiarizing yourself with the quantum algorithms...

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