🌀 Quantum Computing with Qiskit (QCWQ) ⚛️

A beginner-friendly, hands-on repository to explore Quantum Computing using Qiskit.

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🚀 Project Structure

This repository is organized as follows:

• /notebooks/ — Jupyter notebooks for tutorials, experiments, and hands-on learning.
• /scripts/ — Python scripts for automation, validation, and CLI tools.
• /docs/ — Documentation, guides, and roadmap.
• /tests/ — Test scripts and validation code.

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🚀 Project Roadmap

A practical, step-by-step learning path is now available in docs/ROADMAP.md.

Topics Covered:

• Quantum circuit basics & simulation
• Visualizing and running circuits
• Real hardware execution
• Quantum algorithms & applications
• Error mitigation & advanced simulation
• Real-world use cases (chemistry, optimization, ML)
• Best practices & contributing

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📖 Getting Started

1. Install Python 3.8+, Git, and Jupyter Notebook
2. Install dependencies:

   pip install -r requirements.txt

3. Run a sample circuit:

   python quantum_circuits.py

4. Explore notebooks: Open first_circuit.ipynb in Jupyter and try out the code!

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🛠️ Environment Validation

After installing dependencies, validate your environment:

python scripts/validate_env.py

• This script checks for all required packages and prints their versions.
• Missing packages are clearly reported for troubleshooting.

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🗂️ Documentation

• Project Roadmap
• Contributing Guide
• Installation Guide

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👨‍💻 Contributing: Join the Quantum Fun!

We love collaborators! If you have ideas, improvements, or want to add new quantum circuits, you’re welcome to contribute!

See docs/CONTRIBUTING.md for guidelines.

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📚 References & Resources

• IBM Quantum Learning Paths
• Getting Started with Qiskit
• Qiskit Documentation
• arXiv: Quantum computing with Qiskit (2405.08810)

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🚀 Let's Build Something Quantum Together!

This project is a living, collaborative course. Explore, experiment, and contribute!