https://github.com/sebsop/r2p-quantum-qiskit-exploration
Hands-on quantum computing journey with Qiskit, developed through IBM’s R2P program. Covers fundamentals, circuit transpilation, backend execution, and is built in Python with Jupyter notebooks.
https://github.com/sebsop/r2p-quantum-qiskit-exploration
ibm jupyter-notebook python quantum-computing
Last synced: about 5 hours ago
JSON representation
Hands-on quantum computing journey with Qiskit, developed through IBM’s R2P program. Covers fundamentals, circuit transpilation, backend execution, and is built in Python with Jupyter notebooks.
- Host: GitHub
- URL: https://github.com/sebsop/r2p-quantum-qiskit-exploration
- Owner: sebsop
- License: mit
- Created: 2025-04-17T22:57:42.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-16T08:47:05.000Z (2 months ago)
- Last Synced: 2026-06-23T03:34:05.405Z (about 5 hours ago)
- Topics: ibm, jupyter-notebook, python, quantum-computing
- Language: Jupyter Notebook
- Homepage:
- Size: 8.58 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🧠 Road to Practitioner (R2P) – IBM Quantum Learning Journey
Welcome to my personal repository documenting my progress through the **Road to Practitioner (R2P)** program by IBM Quantum during **Spring–Summer 2025**.
This repo contains all the Jupyter notebooks, exercises, and notes I've worked on as part of this hands-on learning experience, covering the fundamentals of **quantum computing** and **Qiskit**.
---
## 🌐 About the Program
**Road to Practitioner (R2P)** is a structured and community-driven quantum computing program developed by **IBM Quantum**. It’s designed to take participants on a learning journey **from curious learner to capable practitioner**.
### 🔍 Program Highlights:
- **Target Audience**: Researchers, educators, students, and professionals from diverse backgrounds
- **Cohort-Based**: Time-bound and community-supported structure
- **Two Phases, Six Units**: Combining theory with hands-on practical experience
- **Modular & Flexible**: Tailored to suit different levels and interests
- **Guided Learning**: Based on state-of-the-art IBM Quantum Learning Platform content
- **Hands-On Labs**: Capstone project, exercises, and Qiskit Developer Certification prep
- **Mentorship & Support**: Office hours and mentor access throughout
- **Solid Foundation for R2U**: Sets the stage for the more advanced *Road to Utility (R2U)* program
Learn more here: [IBM Quantum Learning Platform](https://quantum.ibm.com/)
---
## 📘 What You'll Find in This Repo
- 📓 **Jupyter Notebooks** – My personal notes, experiments, and exercise solutions
- 🧪 **Quantum Circuits** – Example circuits using Qiskit (e.g., Bell, GHZ, W states)
- 🧠 **Concepts Covered** – Superposition, entanglement, gates, measurement, noise, etc.
- 🧰 **Transpilation & Optimization** – Using pass managers and working with real hardware
---
## 🚀 Getting Started
If you'd like to explore or run the notebooks:
1. **Clone the repo**:
```bash
git clone https://github.com/sebsop/r2p-quantum-qiskit-exploration.git
```
2. **Create a virtual environment** (optional but recommended):
```bash
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
```
3. **Install requirements**:
```bash
pip install -r requirements.txt
```
4. **Launch Jupyter Notebook**:
```bash
jupyter notebook
```
---
## 💡 Why I’m Doing This
Quantum computing is a rapidly emerging field with the potential to transform industries. Through R2P, I'm building a strong foundation in both theory and practice to contribute to this exciting space, and this repo is my way of documenting that journey.
---
## Acknowledgments
* Thanks to IBM Quantum, the Freeya Mind Campus project and the Qiskit team for creating the **R2P program** and providing hands-on access to quantum computing resources!
* Special thanks to my teacher **Tudor-Dan Mihoc** for supporting my participation and helping me deepen my quantum skills.
---
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
---
## 💡 Contact
Questions, feedback, or ideas? Reach out anytime at [sebastian.soptelea@proton.me](mailto:sebastian.soptelea@proton.me).