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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 about the general features and capabilities provided by Qiskit so that you can create highly efficient quantum algorithms. You then learned how to install Qiskit locally, as well as how to contribute and find support from the Qiskit community.

We’ve learned more about Qiskit and how it fits on the development stack, and we covered an overview of the application modules and simulators provided in the Qiskit libraries. This provided you with the general skills and functionality to create circuits, which you can then use to apply various operations to the qubits via gates and operators.

Then, we learned about Aer, which allows us to create better simulators and how to execute them locally and on the IBM Quantum platform.

You learned details on how you can install your own version of Qiskit on your platform using Anaconda. Finally, we learned about the Qiskit community and its advantages to all, particularly those who are new to...

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