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It is shown that modified versions of the linear congruential generator and the shift register generator are provably good for amplifying the correctness of a probabilistic algorithm. More precisely, if r random bits are needed for a BPP algorithm to be correct with probability at least 2/3, then O(r+k/sup 2/) bits are needed to improve this probability to 1-2/sup -k/. A different pseudorandom generator that is optimal, up to a constant factor, in this regard is also presented. It uses only O(r+k) bits to improve the probability to 1-2/sup -k/. This generator is based on random walks on expanders. The results do not depend on any unproven assumptions. It is shown that the modified versions of the shift register and linear congruential generators can be used to sample from distributions using, in the limit, the information-theoretic lower bound on random bits.>
Impagliazzo et al. (Sun,) studied this question.
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