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Dynamical phase transitions in quantum Reservoir Computing


Information can be processed by physical, chemical and biological systems with a major example being our brain. In this context, quantum reservoir computing is a promising approach in the fields of complex systems and artificial neural networks characterized by a fast and easy training and with applications as time series processing and forecasting. Complex systems can store memory and can be used to non-linearly process input information, but understanding what is essential for a good quantu...



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