New paper on quantum reservoir computing

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.

J. Dudas, E. Plouet, A. Mizrahi, J. Grollier, & D. Marković, Quantum reservoir neural network implementation on a Josephson mixer. [arXiv]

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