Quantum speed limits based on Jensen-Shannon and Jeffreys divergences for general physical processes

The project is primarily a research artifact associated with an academic paper. With 0 stars and 2 forks, it lacks any market traction or community momentum. From a competitive intelligence perspective, its defensibility is minimal because the value lies in the mathematical proofs and theoretical bounds rather than any proprietary software moat. It provides a new way to calculate Quantum Speed Limits (QSLs) using specific information-theoretic metrics (Jensen-Shannon and Jeffreys divergences), which is a niche area of quantum thermodynamics and information geometry. Frontier labs like OpenAI or Google are unlikely to build this directly into their platforms as it is a low-level theoretical tool for quantum physicists, though it might be used by internal research teams at IBM or Google Quantum AI to optimize gate speeds. There is no platform domination risk as this is not a commercial product category. Its primary value is as a reference implementation for other researchers in the field.