Quantum reservoir computing with superconducting nonlinear oscillators

Quantum reservoir computing (QRC) is an emerging approach to quantum machine learning that harnesses the dynamics of a quantum system in order to perform computation. It is especially attractive in the era of small and noisy quantum devices as it is inherently hardware-efficient and relaxes the requirements on precise control of the system state. While many approaches to building a practical QRC have been proposed, the strong nonlinearities acheivable with superconducting quantum devices make them an attractive platform for implementing a quantum reservoir. Here, we present our development of a small quantum reservoir based on superconducting Kerr oscillators. We focus on theoertical and experimental investigations of its computational capacity, and discuss challenges in scaling up this technology towards application-relevant performance.