Hitting sets for regular branching programs

Hitting sets for regular branching programs
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常规分支程序的命中集

DOI:
10.4230/lipics.ccc.2022.3
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发表时间:
2022
期刊:
Proceedings of the 37th Computational Complexity Conference
影响因子:
--
通讯作者:
Edward Pyne
Edward Pyne
中科院分区:
--
文献类型:
--
作者:
Andrej Bogdanov;William M. Hoza;Gautam Prakriya;Edward Pyne

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我们构造了改进的命中集生成器(HSGs)的有序(只读一次)定期分支计划在两个参数制度。首先,我们构造了一个显式的ε-HSG,用于具有种子长度的单个接受状态的无界宽度正则分支程序[EQUATION],其中n是程序的长度。其次,我们构造了一个显式的ε-HSG,用于种子长度为w-n的正则分支程序[方程]对于上下文,该领域的“基线”是Nisan(Combinatorica 1992)的伪随机生成器(PRG),它欺骗了种子长度为O(log(wn/ε)· log n)的有序(可能是非正则)分支程序。对于常规程序,Braverman,Rao,Raz和Yehudayoff(FOCS 2010,SICOMP 2014)提出的最先进的PRG的种子长度为log(w/ε)· log n,当log(w/ε)= o(log n)时,它超过了Nisan的种子长度。总的来说,我们的两个新构造在所有参数区域中击败了Nisan的种子长度,除了当log w和log(1/ε)都是Ω(log n)时(对于具有单个接受顶点的正则分支程序的HSG的构造)。扩展Reingold,Trevisan和Vadhan(STOC 2006)的工作,我们进一步证明了在log w = Θ(log(1/ε))= θ(log n)的机制中,具有单个接受顶点且种子长度为o(log 2 n)的正则分支程序的显式HSG将意味着一般有序分支程序的改进HSG,这将是去随机化的重大突破。Pyne和Vadhan(CCC 2021)最近获得了置换分支程序特殊情况下的此类参数。
We construct improved hitting set generators (HSGs) for ordered (read-once) regular branching programs in two parameter regimes. First, we construct an explicit ε-HSG for unbounded-width regular branching programs with a single accept state with seed length [EQUATION] where n is the length of the program. Second, we construct an explicit ε-HSG for width-w length-n regular branching programs with seed length [EQUATION] For context, the "baseline" in this area is the pseudorandom generator (PRG) by Nisan (Combinatorica 1992), which fools ordered (possibly non-regular) branching programs with seed length O(log(wn/ε) · log n). For regular programs, the state-of-the-art PRG, by Braverman, Rao, Raz, and Yehudayoff (FOCS 2010, SICOMP 2014), has seed length Õ(log(w/ε) · log n), which beats Nisan's seed length when log(w/ε) = o(log n). Taken together, our two new constructions beat Nisan's seed length in all parameter regimes except when log w and log (1/ε) are both Ω(log n) (for the construction of HSGs for regular branching programs with a single accept vertex). Extending work by Reingold, Trevisan, and Vadhan (STOC 2006), we furthermore show that an explicit HSG for regular branching programs with a single accept vertex with seed length o(log2 n) in the regime log w = Θ(log(1/ε)) = Θ(log n) would imply improved HSGs for general ordered branching programs, which would be a major breakthrough in derandomization. Pyne and Vadhan (CCC 2021) recently obtained such parameters for the special case of permutation branching programs.
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