Welcome to my Quantum Computing repository! This project is dedicated to exploring the fundamentals and advanced concepts of quantum computing using Qiskit, an open-source SDK developed by IBM for working with quantum computers.
This repository includes:
- 📚 Learning Notebooks: Jupyter notebooks covering the basics of quantum mechanics, quantum gates, and circuits.
- 🔬 Qiskit Tutorials: Hands-on examples using Qiskit including circuit construction, visualization, and execution on simulators or real quantum hardware.
- 🧩 Mini Projects: Implementations of key quantum algorithms:
- Quantum Teleportation
- Deutsch-Jozsa Algorithm
- Grover's Algorithm
- Quantum Fourier Transform
- 📈 Visualization Tools: Circuit diagrams and quantum state visualizations using Qiskit's built-in tools.
- 🧪 Experiments: Explorations of quantum noise, measurement errors, and hardware constraints.
- Build an intuitive understanding of quantum principles.
- Learn how to use Qiskit effectively for real-world quantum applications.
- Serve as a personal knowledge base and resource for the community.
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Clone this repo:
git clone https://github.com/praneshulleri/quantum-computing-qiskit.git cd quantum-computing-qiskit -
Install required dependencies Make sure you have Python 3.7+ installed. Then run:
pip install qiskit matplotlib numpy jupyter
-
Launch Jupyter notebooks jupyter notebook
| Category | Tools & Technologies |
|---|---|
| Language | Python 3.x |
| Quantum SDK | Qiskit |
| Development Environment | Jupyter Notebook |
| Libraries | NumPy, Matplotlib |
This repository is licensed under the MIT License.
You are free to use, modify, and distribute this code as long as you include proper attribution.
For more information, see the LICENSE file.
Hi, I'm Pranesh Ulleri – a Computer Science graduate and passionate tech explorer, currently diving deep into Quantum Computing and Qiskit.
I created this repository to document and share my journey learning quantum principles, building simulations, and experimenting with real quantum devices.
Feel free to connect with me:
- 🌐 Website: praneshulleri.github.io
- 💼 LinkedIn: linkedin.com/in/praneshulleri
If you find this repository helpful, consider ⭐ starring it and sharing it with fellow learners!