Welcome to this beginner-friendly tutorial series on Qiskit Programming using Python! This series is designed to help you get started with quantum computing by exploring the IBM Quantum Platform and learning how to build, simulate, and run quantum circuits using Qiskit.
📒 About This First Notebook: Introduction and Setup
This first notebook covers the essentials of the IBM Quantum Platform, including:
- Registering and navigating the platform interface
- Understanding the key tools: Dashboard, Compute Resources, Workloads, Documentation, and Learning
- Exploring quantum hardware metrics like Quantum Volume and CLOPS
- Getting familiar with the Quantum Composer, a graphical circuit builder
By the end of this notebook, you will have a solid foundation for using the IBM Quantum ecosystem and be ready to install Qiskit and write your first quantum program.
The next notebooks in this series will guide you through:
- Installing Qiskit and setting up your Python environment
- Writing and simulating your first quantum circuits in Python
- Understanding quantum gates and measurement
- Running quantum jobs on simulators and real IBM quantum hardware
- Advanced topics like quantum algorithms and error mitigation
Stay tuned and keep exploring the exciting world of quantum computing!
This project is licensed under the MIT License — see the LICENSE file for details.
A special thanks to the Robert Loredo, the author of the book "Learn Quantum Computing with Python and IBM Quantum" by Packt Publishing, which served as an excellent resource and inspiration for this tutorial series.
If you want to dive deeper into quantum computing with hands-on Python examples, check out the book here: Learn Quantum Computing with Python and IBM Quantum