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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

Understanding the meaning of outperforming classical systems

In this section, we will learn about the potential advantages that a quantum system has over classical systems by studying some of the early examples that illustrate quantum speedup versus classical systems, albeit some of the examples are simple illustrations of the advantages that, in themselves, do not have any practical usage.

Claims such as quantum systems potentially solving equations at rapid speeds over classical systems or having the capability of a larger computation space all sound fascinating. However, recall that, at the time of writing this chapter, there are still no quantum systems available that can outperform current classical systems in solving real-world commercial problems. “So why all the chatter?” you ask.

The answer is simple—potential. Theoretically speaking, there are quantum algorithms that describe solutions to problems that illustrate quantum speedup, such as Shor...

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