QuantumReservoirPy: A Software Package for Time Series Prediction

January 19, 2024 Β· Declared Dead Β· πŸ› Journal of Open Source Software

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Authors Stanley Miao, Ola Tangen Kulseng, Alexander Stasik, Franz G. Fuchs arXiv ID 2401.10683 Category quant-ph: Quantum Computing Cross-listed cs.SE Citations 3 Venue Journal of Open Source Software Last Checked 5 months ago
Abstract
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.
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