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.

Ultimate capacity limit of a multi-span link with phase-insensitive amplification

The Shannon capacity of a point-to-point link with an optimised configuration of optical amplifiers is compared with general detection strategies permitted by quantum mechanics. Results suggest that the primary application area of receivers based on such strategies may be unamplified short-distance links or free-space optical communication