Every industry generates more data than it can easily process, and machine learning models keep getting more expensive to train and run. Quantum machine learning explores whether quantum systems can take on these learning tasks, such as forecasting sensor readings, energy demand, or financial signals, using fewer resources, and Quantum Reservoir Computing (QRC) does this by training only a linear readout while keeping the quantum system’s dynamics fixed.