A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps

arXiv:2607.07978v1 Announce Type: new Abstract: Quantum reservoir computing uses a fixed quantum circuit as a feature generator and trains only a simple linear readout on top of it. This makes it cheap to train and free of the optimisation problems that affect many quantum machine-learning models.