  In recent times, quantum reservoir computing has emerged as a potential
resource for time series prediction. Hence, there is a need for a flexible
framework to test quantum circuits as nonlinear dynamical systems. We have
developed a software package to allow for quantum reservoirs to fit a common
structure, similar to that of reservoirpy which is advertised as "a python tool
designed to easily define, train and use (classical) reservoir computing
architectures". Our package results in simplified development and logical
methods of comparison between quantum reservoir architectures. Examples are
provided to demonstrate the resulting simplicity of executing quantum reservoir
computing using our software package.
