This is my personal workspace for learning and exploring quantum computing.
Here, I practice concepts, write notes, run code, experiment with quantum circuits, explore different software frameworks, and test different simulation and hardware methods.
- Learn the fundamentals of quantum computing
- Practice building and running quantum circuits
- Explore quantum gates, qubits, measurements, and entanglement
- Study and implement quantum algorithms
- Experiment with simulators and real quantum hardware
- Compare different quantum computing frameworks and methods
- Write documentation and learning notes
- Save useful examples, results, and references
This repository includes work related to:
- QAOA (Quantum approximate optimization algorithm)
- QUBO (Quadratic unconstrained binary optimization)
quantum-computing/
├── docs/ [Written notes, explanations, summaries, and documentation.]
├── notebooks/ [Jupyter notebooks for practice, exploration, and learning.]
├── code/ [Reusable code, scripts, and helper functions.]
├── projects/ [Small projects I work on.]
├── hardware/ [Work related to real quantum hardware and backend providers.]
└── resources/ [References and external learning material.]
This repo is licensed under the MIT License.