Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs
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. In this paper, we advance upon the recurrent architectures, which employ a two register approach to endow the QRC with a fading memory. While these approaches have been validated on hardware and have demonstrated great real-world performance on no...
| Authors | Erik L. Connerty, Ethan N. Evans |
|---|---|
| Primary category | quant-ph |
| Published | 12 May 2026 |
| Last updated at source | 17 June 2026 |
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