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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By : Robert Loredo
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Learn Quantum Computing with Python and IBM Quantum

Learn Quantum Computing with Python and IBM Quantum

By: Robert Loredo

Overview of this book

IBM Quantum Lab 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 on several real quantum computers. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum dashboard and Quantum Information Science Kit (Qiskit) SDK. You will become well versed with the IBM Quantum Composer interface as well as the IBM Quantum Lab. You will learn the differences between the various available quantum computers and simulators. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, quantum circuits, qubits, and the gates that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Quantum and the developer-focused resources it offers to address key concerns like noise and decoherence within a quantum system. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum programs and will have gained a practical understanding of quantum computation that you can apply to your business.
Table of Contents (18 chapters)
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14
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15
Index

Summary

In this chapter, you learned various ways to optimize your circuits when they are running on one of the many quantum computers that currently exist. You also learned about the different passes available to optimize the execution of your circuit on a specified quantum device. This includes generating a pass manager, which allows you to customize which passes to leverage based on the selected optimization level and allows you to choose their order.

We then covered topology and coupling maps, which helped you understand the importance of knowing the device configurations should you want to create your own passes. By visualizing the circuits in various formats, you now have the skills to customize the rendering of images, particularly if you are documenting your work and would like to keep a certain look and feel. Finally, we covered alternative rendering of the circuit operation flow by using DAGs.

In the next chapter, we will learn about various noises associated with...

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