An Algorithm to Decrease the Key Distribution Error Rate Using Pulsars

In this work we propose a new algorithm that decreases the error rate of the key distribution protocol that uses a pulsar as source of randomness. In the core of the proposed algorithm is the relative disentropy working as a measure of distance between probability distributions. The algorithm is described and simulations are performed.