Quantum-AI-for-Climate

Womanium Quantum+AI 2024 Projects

Please review the participation guidelines here before starting the project.

Do NOT delete/ edit the format of this read.me file.

Include all necessary information only as per the given format.

Project Information:

Team Size:

• Maximum team size = 4
• While individual participation is also welcome, we highly recommend team participation :)

Eligibility:

• All nationalities, genders, and age groups are welcome to participate in the projects.
• All team participants must be enrolled in Womanium Quantum+AI 2024.
• Everyone is eligible to participate in this project and win Womanium grants.
• All successful project submissions earn the Womanium Project Certificate.
• Best participants win Womanium QSL fellowships with NNL. Please review the eligibility criteria for QSL fellowships in the project description below.

Project Description:

• Click here to view the project description.
• YouTube recording of project description - link

Project Submission:

All information in this section will be considered for project submission and judging.

Ensure your repository is public and submitted by August 9, 2024, 23:59pm US ET.

Ensure your repository does not contain any personal or team tokens/access information to access backends. Ensure your repository does not contain any third-party intellectual property (logos, company names, copied literature, or code). Any resources used must be open source or appropriately referenced.

Team Information:

Team Member 1: (Nigel Kelly Phillips)

• Email: [email protected]
• Discord ID: Nigel Phillips - USA
• GitHub ID: swooshcode
• Nationality: USA
• Current affiliation: Pursuit, SNHU

Team Member 2:

• Full Name:
• Womanium Program Enrollment ID (see Welcome Email, format- WQ24-xxxxxxxxxxxxxxx):

Team Member 3:

• Full Name:
• Womanium Program Enrollment ID (see Welcome Email, format- WQ24-xxxxxxxxxxxxxxx):

Team Member 4:

• Full Name:
• Womanium Program Enrollment ID (see Welcome Email, format- WQ24-xxxxxxxxxxxxxxx):

Project Solution:

Quantum + AI for Improved Typhoon Prediction in Taiwan

This project leverages Quantum Computing and AI to enhance the accuracy of typhoon predictions. The goal is to extend the prediction window and improve trajectory and severity forecasts, providing more time for disaster preparedness.

Objectives

• Develop a hybrid quantum-classical algorithm for typhoon prediction.
• Utilize quantum simulations and AI for improved trajectory and severity predictions.
• Provide actionable insights for early warning systems.

Project Presentation Deck:

Upload/ Link a 3min. presentation deck here.

See project presentation guidelines here