Abstract
Reservoir computing on quantum computers has recently emerged as a potential resource for time series prediction, owing to its inherent complex dynamics. To advance Quantum Reservoir Computing (QRC) research, we have developed the Python package QuantumReservoirPy, which facilitates QRC using quantum circuits as reservoirs.
The package is designed to be easy to use, while staying completely customizable. The resulting interface, similar to that of reservoirpy (Trouvain et al., 2020), simplifies the development of quantum reservoirs, and provides logical methods of comparison between reservoir architectures.