QuantumAI-Climate-Projects

Welcome to the QuantumAI-Climate-Projects repository! This repository contains four projects that leverage the power of Quantum Computing and Artificial Intelligence to address various challenges related to climate modeling, prediction, and simulation.

Getting Started

To get started with any of the projects, navigate to the respective project folder and follow the instructions provided in the README.md file within each folder.

Prerequisites

• Python 3.x
• Necessary Python libraries (see individual project requirements)
• Qiskit for quantum simulations

Installation

Clone the repository to your local machine:

git clone https://github.com/yourusername/QuantumAI-Climate-Projects.git
cd QuantumAI-Climate-Projects

Install the key libraries needed for each project: pip install numpy pandas scikit-learn qiskit

QuantumAI-Climate-Projects/
│
├── Project1_Atmospheric_Simulations/
│   ├── code/
│   │   ├── vqe_simulation.py
│   │   └── qpe_simulation.py
│   ├── data/
│   │   └── climate_data.csv
│   └── README.md
│
├── Project2_Climate_Prediction/
│   ├── code/
│   │   ├── ai_model.py
│   │   └── data_preprocessing.py
│   ├── data/
│   │   └── historical_climate_data.csv
│   └── README.md
│
├── Project3_Battery_Simulation/
│   ├── code/
│   │   ├── vqe_battery.py
│   │   └── qpe_battery.py
│   ├── data/
│   │   └── battery_materials.csv
│   └── README.md
│
└── Project4_Light_Interaction/
    ├── code/
    │   ├── ai_light_simulation.py
    │   └── quantum_light_simulation.py
    ├── data/
    │   └── cloud_data.csv
    └── README.md


## Acknowledgments

Thanks to the Womanium Institution for supporting our Quantum and AI initiatives.