{"id":51062402,"url":"https://github.com/sebsop/r2p-quantum-qiskit-exploration","last_synced_at":"2026-06-23T03:34:08.093Z","repository":{"id":289150974,"uuid":"968336089","full_name":"sebsop/r2p-quantum-qiskit-exploration","owner":"sebsop","description":"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.","archived":false,"fork":false,"pushed_at":"2026-04-16T08:47:05.000Z","size":8996,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-06-23T03:34:05.405Z","etag":null,"topics":["ibm","jupyter-notebook","python","quantum-computing"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sebsop.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-04-17T22:57:42.000Z","updated_at":"2026-04-16T08:47:09.000Z","dependencies_parsed_at":"2025-04-21T20:37:42.834Z","dependency_job_id":"af17cdb8-2d28-4df9-8c8d-30c3f4649433","html_url":"https://github.com/sebsop/r2p-quantum-qiskit-exploration","commit_stats":null,"previous_names":["dosqas/r2p-quantum-qiskit-exploration","sebsop/r2p-quantum-qiskit-exploration"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sebsop/r2p-quantum-qiskit-exploration","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebsop%2Fr2p-quantum-qiskit-exploration","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebsop%2Fr2p-quantum-qiskit-exploration/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebsop%2Fr2p-quantum-qiskit-exploration/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebsop%2Fr2p-quantum-qiskit-exploration/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sebsop","download_url":"https://codeload.github.com/sebsop/r2p-quantum-qiskit-exploration/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebsop%2Fr2p-quantum-qiskit-exploration/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34674702,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-23T02:00:07.161Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ibm","jupyter-notebook","python","quantum-computing"],"created_at":"2026-06-23T03:34:07.482Z","updated_at":"2026-06-23T03:34:08.088Z","avatar_url":"https://github.com/sebsop.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Road to Practitioner (R2P) – IBM Quantum Learning Journey\n\nWelcome to my personal repository documenting my progress through the **Road to Practitioner (R2P)** program by IBM Quantum during **Spring–Summer 2025**.\n\nThis 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**.\n\n---\n\n## 🌐 About the Program\n\n**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**.\n\n### 🔍 Program Highlights:\n\n- **Target Audience**: Researchers, educators, students, and professionals from diverse backgrounds\n- **Cohort-Based**: Time-bound and community-supported structure\n- **Two Phases, Six Units**: Combining theory with hands-on practical experience\n- **Modular \u0026 Flexible**: Tailored to suit different levels and interests\n- **Guided Learning**: Based on state-of-the-art IBM Quantum Learning Platform content\n- **Hands-On Labs**: Capstone project, exercises, and Qiskit Developer Certification prep\n- **Mentorship \u0026 Support**: Office hours and mentor access throughout\n- **Solid Foundation for R2U**: Sets the stage for the more advanced *Road to Utility (R2U)* program\n\nLearn more here: [IBM Quantum Learning Platform](https://quantum.ibm.com/)\n\n---\n\n## 📘 What You'll Find in This Repo\n\n- 📓 **Jupyter Notebooks** – My personal notes, experiments, and exercise solutions  \n- 🧪 **Quantum Circuits** – Example circuits using Qiskit (e.g., Bell, GHZ, W states)  \n- 🧠 **Concepts Covered** – Superposition, entanglement, gates, measurement, noise, etc.  \n- 🧰 **Transpilation \u0026 Optimization** – Using pass managers and working with real hardware  \n\n---\n\n## 🚀 Getting Started\n\nIf you'd like to explore or run the notebooks:\n\n1. **Clone the repo**:\n   ```bash\n   git clone https://github.com/sebsop/r2p-quantum-qiskit-exploration.git\n   ```\n\n2. **Create a virtual environment** (optional but recommended):\n   ```bash\n   python -m venv venv\n   source venv/bin/activate  # or venv\\Scripts\\activate on Windows\n   ```\n\n3. **Install requirements**:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n4. **Launch Jupyter Notebook**:\n   ```bash\n   jupyter notebook\n   ```\n\n---\n\n## 💡 Why I’m Doing This\n\nQuantum 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.\n\n---\n\n## Acknowledgments\n\n* 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!\n* Special thanks to my teacher **Tudor-Dan Mihoc** for supporting my participation and helping me deepen my quantum skills.\n\n---\n\n## 📄 License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n---\n\n## 💡 Contact\n\nQuestions, feedback, or ideas? Reach out anytime at [sebastian.soptelea@proton.me](mailto:sebastian.soptelea@proton.me).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsebsop%2Fr2p-quantum-qiskit-exploration","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsebsop%2Fr2p-quantum-qiskit-exploration","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsebsop%2Fr2p-quantum-qiskit-exploration/lists"}