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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

Optimizing circuits using the Transpiler

In order to accomplish this, we will learn about the Transpiler, it's usage, and the various features it makes available for us to create and execute optimal circuits. By optimizing the execution of the circuit to match the circuit topology of the quantum device, we reduce the noise and its effect on our results.

In this section, we will learn about transforming a quantum circuit so that it is best matched to the quantum device. We will also learn how to optimize the circuit by using the layout optimizer. We will then learn about the backend configuration and its optimization, along with the pass manager and passes.

Transformation of a quantum circuit

When you create a circuit and run it on a quantum device, there are many things occurring between the time you send the circuit to be executed on the quantum device and the time the results are returned. We looked at a few of those steps when we discussed OpenPulse in Chapter 8, Programming...

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