Expressiveness

Expressiveness in quantum computing refers to how effectively a quantum model (like a variational circuit) can represent complex functions or quantum states. A more expressive model can capture richer correlations and solve more complex problems, but may also be harder to train. It’s roughly analogous to the “capacity” or “model complexity” in classical machine learning.