Paper · arXiv
Optimization of CV-QKD Under Practical Constraints
Using reinforcement learning, we optimize for practical hardware constraints, including limited FIR filter taps at the transmitter and receiver, mean photon number and finite DAC/ADC resolution. Under these realistic conditions, the proposed approach achieves significant performance improvements.
| Authors | Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna et al. |
|---|---|
| Primary category | cs.IT |
| Published | 3 May 2026 |
| Last updated at source | 3 May 2026 |
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