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.

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Spis treści

Learn Quantum Computing with Python and IBM Quantum. Write your own practical quantum programs with Python - Second Edition eBook -- spis treści

• 1. Exploring the IBM Quantum Tools
• 2. IBM Quantum Composer – Creating a Quantum Circuit
• 3. Creating Quantum Circuits using Quantum Lab Notebooks
• 4. Understanding Basic Quantum Computing Principles
• 5. Understanding the Quantum Bit (Qubit)
• 6. Understanding Quantum Logic Gates
• 7. Introducing Qiskit and the Qiskit Community
• 8. Programming with Qiskit Terra system
• 9. Monitoring and Optimizing Quantum Circuit
• 10. Simulating Quantum Systems and Noise Models
• 11. Understanding and Mitigating Quantum Noise
• 12. Understanding Quantum Algorithms
• 13. Applying Quantum Algorithms
• 14. Understanding Qiskit Operators and Application Modules
• 15. Appendix A -Resources
• 16. Assessment