Quantum Computing with Qiskit: Interactive Tutorials

Embark on a journey through the Basics of Quantum Information course by IBM with these interactive Jupyter notebooks, guiding you from theoretical concepts to practical Qiskit implementations.
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Table of Contents

1. About The Project
   • Purpose
   • What's Included
   • Built With
2. Getting Started
   • Prerequisites and Installation
3. Roadmap
4. Contributing
5. License
6. Contact

About The Project

Welcome to the Quantum Computing Tutorials repository! 🌟

This collection of Jupyter notebooks serves as a comprehensive guide for beginners delving into the fascinating world of quantum computing using the Qiskit framework in Python.

Purpose

The primary goal of this project is to provide clear and concise tutorials that bridge the gap between theoretical concepts and practical implementation. Each notebook is designed to guide you through fundamental topics covered in the Basics of Quantum Information course by IBM, offering step-by-step explanations and hands-on exercises.

What's Included

• Mathematical Foundations: Gain a solid understanding of the mathematical principles underpinning quantum information and computation for both single and multiple systems.

• Quantum Circuits: Learn how to construct and manipulate quantum circuits using Qiskit, exploring various gates and operations.

• Key Examples: Dive into three crucial examples — quantum teleportation, superdense coding, and the CHSH game — all illustrating the fascinating phenomena of entanglement and quantum information processing.

Built With

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Getting Started

Prerequisites and installation

1. Clone the repo

   git clone https://github.com/dannybozbay/Qiskit-Tutorials

2. Create a Python (3.11 or higher) environment with the required dependencies

   cd Qiskit-Tutorials
   python3 -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt

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Roadmap

• Lesson 1 - Single Systems
• Lesson 2 - Multiple Systems
• Lesson 3 - Quantum Circuits
• Lesson 3 - Quantum Entanglement

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Danny Bozbay - [email protected]

Project Link: https://github.com/dannybozbay/Qiskit-Tutorials

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