Worst-case hardness suffices for derandomization: A new method for hardness-randomness trade-offs

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Abstract

Up to know, the known derandomization methods have been derived assuming average-case hardness conditions. In this paper we instead present the first worst-case hardness conditions sufficient to obtain P = BPP. Our conditions refer to the worst-case circuit complexity of Boolean operators computable in time exponential in the input size. Such results are achieved by a new method that departs significantly from the usual known methods based on pseudo-random generators. Our method also gives a worst-case hardness condition for the circuit complexity of Boolean operators computable in NC (with respect to their output size) to obtain NC = BPNC.

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APA

Andreev, A. E., Clementi, A. E. F., & Rolim, J. D. P. (1997). Worst-case hardness suffices for derandomization: A new method for hardness-randomness trade-offs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1256, pp. 177–187). Springer Verlag. https://doi.org/10.1007/3-540-63165-8_175

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