This repository contains a collection of Jupyter Notebooks demonstrating various quantum computing concepts using Qiskit, a popular quantum computing framework.
Quantum computing is an exciting field, and this repository aims to provide hands-on examples and demonstrations using Qiskit. Whether you are a beginner or an experienced quantum enthusiast, these notebooks cover a range of topics from basic quantum gates to more advanced algorithms like Simon's Algorithm and the Deutsch-Jozsa Algorithm.
- BELL STATE Ket Phi Plus 00
- BELL STATE Ket Psi Minus 11
- BELL STATE Ket Psi Plus 01
- BELL STATE Phi Minus 10
- Bell State
- Bloch Sphere Complete Visualization
To run these notebooks locally, you need to have Python and Jupyter Notebooks installed. Additionally, you'll need to install Qiskit. You can install the required dependencies using the following command:
pip install qiskit- Clone the repository:
git clone https://github.com/minnukota381/Quantum-Computing-Qiskit.git
cd Quantum-Computing-Qiskit- Open the desired notebook using Jupyter Notebooks:
jupyter notebook- Explore and run the notebooks to understand quantum computing concepts.
If you find any issues, have suggestions, or want to contribute new notebooks, feel free to open an issue or create a pull request. Your contributions are welcome!