Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs

ArXi:2605.12713v1 Announce Type: cross In the field of quantum reservoir computing (QRC), many different computational models and architectures have been proposed. From these models, we identify feedback based models -- which use a feedback mechanism to re-embed classical measurements from the QRC -- and recurrent models -- which use a multi-register approach with memory and readout qubits -- as the two major competing architectures that have been discussed and validated on hardware.