
Learn Quantum Computing with Python and IBM Quantum
By :

Learn Quantum Computing with Python and IBM Quantum
By:
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)
Preface
Exploring the IBM Quantum Tools
Creating Quantum Circuits with IBM Quantum Composer
Introducing and Installing Qiskit
Understanding Basic Quantum Computing Principles
Understanding the Qubit
Understanding Quantum Logic Gates
Programming with Qiskit
Optimizing and Visualizing Quantum Circuits
Simulating Quantum Systems and Noise Models
Suppressing and Mitigating Quantum Noise
Understanding Quantum Algorithms
Applying Quantum Algorithms
Understanding Quantum Utility and Qiskit Patterns
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Index
Appendix A: Resources
Appendix B: Assessments
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