Quantimize
Hackathon CLI where I experiment with OpenStreetMap data and leave hooks for future quantum inspired tricks that nudge route planning forward.
PythonOSMnxNetworkXFolium
Quantimize is where I park all my route optimisation experiments. It is not pure quantum yet, but the structure is ready for when I plug in annealing results.
Features today
- A Python CLI downloads a city graph, stores it as GraphML, and lists the cache on demand.
- Folium exports let me share a quick HTML map with the highlighted path instead of dumping raw numbers.
- Weights are easy to swap because I treat travel time, distance, and risk as pluggable cost functions.
Where it is going
The next milestone is to feed cost estimates from a small quantum annealer and compare them with the classical baseline that already works inside the repo.