Interactive Wi-Fi optimization tool using simulated annealing, supporting 800% zoom and binary coverage matrices up to 2000x2000 pixel scale.
Overview
Developed for UMD's FIRE research program, this tool provides a visual interface for a custom-built simulated annealing algorithm that optimizes campus-wide Wi-Fi coverage. I independently designed the React/Canvas interface—modeled after Photoshop's layout—to allow researchers to generate binary input matrices by interactively mapping coverage nodes onto high-resolution campus maps. You can view the full implementation in the repository here.
Highlights
Created a Wi-Fi coverage tool; validated logic on 3x3 grids before scaling to full map resolutions.
Built React/Canvas interface for interactive node placement, state management, and CSV data export.
Supported 800% zoom and adjustable radii for binary coverage matrices up to 2000x2000 pixel scale.
Research Impact
This implementation serves as a functional proof-of-concept for the scaling potential of quantum optimization. By validating these techniques on classical hardware today, the project establishes a framework for future large-scale logistics—such as urban infrastructure design and campus-wide networking—that will become viable as quantum hardware matures.