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https://github.com/dosqas/r2p-quantum-qiskit-exploration

A hands-on quantum computing journey using Qiskit, developed through the IBM Road to Practitioner (R2P) program during Spring–Summer 2025. Explores foundational quantum concepts, circuit transpilation, and backend execution. Built in Python with Qiskit in Jupyter notebooks as part of a structured learning experience.
https://github.com/dosqas/r2p-quantum-qiskit-exploration

ibm jupyter-notebook quantum-computing

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A hands-on quantum computing journey using Qiskit, developed through the IBM Road to Practitioner (R2P) program during Spring–Summer 2025. Explores foundational quantum concepts, circuit transpilation, and backend execution. Built in Python with Qiskit in Jupyter notebooks as part of a structured learning experience.

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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
- 🧑‍💻 **Capstone Project** (TBD) – Final project to demonstrate applied knowledge

---

## 🚀 Getting Started

If you'd like to explore or run the notebooks:

1. **Clone the repo**:
```bash
git clone https://github.com/dosqas/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 and the Qiskit team for creating the **R2P program** and providing hands-on access to quantum computing resources!

---

## 📬 Contact

Feel free to reach out if you’re also on this path or interested in collaborating!
📧 [sebastian.soptelea@proton.me]