Digital Twin Modeling of Quantum Dynamical Systems: Dissipative Quantum Reservoir Computing
Modeling the response of driven many-body quantum systems from input--output data is difficult: the dynamics are nonlinear, history dependent, and expensive to simulate as system size grows. A paradigmatic case is High-Harmonic Generation~(HHG), where a strong field drives a medium to emit radiation that is highly sensitive to the drive and encodes long-range temporal correlations. We introduce a dissipative quantum reservoir computing~(DQRC) framework that builds a digital twin of such a system, learning its input--output map directly from data while the reservoir---itself a small open quantum system---stays fixed and only a classical readout is trained. We show that a minimal single-qub...
| Authors | Abhijit Sen, Bikram Keshari Parida, Shital Chauhan et al. |
|---|---|
| Primary category | quant-ph |
| Published | 29 September 2026 |
| Last updated at source | 29 September 2026 |
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