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Quantum systems have an exponentially large degree of freedom in the numberof particles and hence provide a rich dynamics that could not be simulated onconventional computers. Quantum reservoir computing is an approach to use sucha complex and rich dynamics on the quantum systems as it is for temporalmachine learning. In this chapter, we explain quantum reservoir computing andrelated approaches, quantum extreme learning machine and quantum circuitlearning, starting from a pedagogical introduction to quantum mechanics andmachine learning. All these quantum machine learning approaches areexperimentally feasible and effective on the state-of-the-art quantum devices.

Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices