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.

翻译：近年来，量子储层计算已发展为时间序列预测的潜在资源，因此亟需一个灵活框架来测试量子电路作为非线性动力系统的性能。我们开发了一款软件包，使量子储层能够适配统一结构——这与ReservoirPy（被描述为“用于便捷定义、训练和使用（经典）储层计算架构的Python工具”）的设计理念一脉相承。本软件包简化了量子储层架构的开发流程，并提供了架构间逻辑比较方法。本文通过示例展示了使用该软件包实现量子储层计算的高效性。