Storage, Scrambling, and Loss of Information in Quantum Reservoir Computing
This research investigates how information is stored, scrambled, and lost in quantum reservoir computing (QRC) systems. It uses tools like Holevo quantities to measure memory capacity and decay rates under different dynamical conditions of the quantum substrate. The findings help determine if a QRC platform is suitable for specific time-series processing tasks.