Our preprint on quantum reservoir computing with superconducting resonators is out! We show in simulations that quantum reservoir can be implemented on a superconducting circuit called a Josephson mixer, and that it can solve non-linearly separable machine learning tasks. We show that a smaller number of such quantum neurons can achieve the same performance as a larger number of classical neurons.
