  The reconciliation step of continuous-variable quantum key distribution
protocols usually involves forward error correction codes. Matching the code
rate and the signal-to-noise ratio (SNR) of the quantum channel is required to
achieve the high reconciliation efficiencies that are crucial for long distance
links. Puncturing and shortening is a way to adapt the code rate to the SNR at
the cost of a slightly reduced reconciliation efficiencies. Instead of adapting
the code rate to the SNR, we propose to add a controlled amount of artificial
noise to the measured data, so that the resulting SNR could be reduced to match
the given code rate. We show that our method can compete with puncturing and
shortening and even outperform it in high-loss, high-excess noise scenarios.
