Quantum Memer in Machine Learning?

Quanta memer is bringing the mechanics of quantom physics to machine learning. So your imput in a classical computer becomes cubits in a quantum, a world realm where you can design gates that tell you how to make that computation to arrive at your output in a faster way. The problem with quontum machine learning is that there's not really a clear advantage to what it can do,. Just because you make a model faster does it mean it's great, right?