some entropy arguement that came to me: The arguements are basically based on different assumptions about the attacker's abilities to interfere with the QRNG system. E = electronic noise; Q = quantum noise; T = total noise; 1, The attackers have full knowledge about the electronic noise, i.e. he/she is able to predict E at any time t; However, the attackers cannot tamper the values of E; The attackers do not have knowledge about Q; In this case: T = E + Q; H(T|E) = H(E+Q|E) = H(Q|E); Since one already knows E = e at any moment, the only uncertainty left is how much the final outcome e+q differs from e. In this case the randomness of the system is merely the entropy of random variable Q, i.e. H(Q). However, since Q cannot be measured without presence of E, one can only roughly estimate H(Q). (Doesn't seem possible to reconstruct the distribution of Q from T-E, right? subtraction of variables kind of destroyes this information...) 2, The attackers are able to control the value of the E at any time, i.e. he/she can generate a sequence of values that is completely known to him/herself and his/her co-attackers (at the output end of the RNG); The attackers may first observe the outcome of Q, then generate a value of E depend on its observation of Q. The attacker does not have knowledge about Q; A possible way of attack in this case: 1, The attackers make an agreement a priori on a preselected number sequence; 2, The attackers divide into two parties: disrupter(observe Q and control E); receiver(stay at the RNG output); 3, The disrupter act his/her control over E such that the sequence generated, i.e. T-E, matches the pre-agreed sequence. 4, The receiver receives the pre-agreed sequence at the output (possibly with certain errors, depends on the distribution). On second thought, this attack method doesn't seem reasonable: One can simply control E value to be -Q, such that Q+E is always 0, so that you don't get any randomness from the RNG... However, one can put up some restrictions to the distribution of the controlled E outcomes: the distribution of E should be the same as observed; the distribution of T should be the same as observed.