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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, we covered just some of the many features included in the Qiskit library. We reviewed creating quantum circuits, as well as executing them on the simulator and real quantum devices. We also reviewed how to concatenate circuits so as to enable you to combine and create composite circuits, which included binding parameters to enable adjustments to various gates.

We covered how the circuits are converted into pulses using Qiskit’s Pulse library and created schedules, which are programs that send pulse information via various channels down to the hardware, and looked at how to obtain the details of the job that was running on the backend.

In the next chapter, we will cover techniques to optimize your quantum circuits by reviewing the features available via pass managers and optimizers. We’ll also learn various ways to visualize your quantum circuits and monitor your jobs as they are executed on the quantum backend systems.

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