דין דורון

אקדמי בכיר

Pseudorandom generators for read-once monotone branching programs

Dean Doron, Raghu Meka, Omer Reingold, Avishay Tal, Salil Vadhan

Motivated by the derandomization of space-bounded computation, there has been a long line of work on constructing pseudorandom generators (PRGs) against various forms of read-once branching programs (ROBPs), with a goal of improving the O(log2 n) seed length of Nisan's classic construction [33] to the optimal O(log n). In this work, we construct an explicit PRG with seed length Oe(log n) for constant-width ROBPs that are monotone, meaning that the states at each time step can be ordered so that edges with the same labels never cross each other. Equivalently, for each fixed input, the transition functions are a monotone function of the state. This result is complementary to a line of work that gave PRGs with seed length O(log n) for (ordered) permutation ROBPs of constant width [7, 26, 12, 37], since the monotonicity constraint can be seen as the “opposite” of the permutation constraint. Our PRG also works for monotone ROBPs that can read the input bits in any order, which are strictly more powerful than read-once AC0. Our PRG achieves better parameters (in terms of the dependence on the depth of the circuit) than the best previous pseudorandom generator for read-once AC0, due to Doron, Hatami, and Hoza [13]. Our pseudorandom generator construction follows Ajtai and Wigderson's approach of iterated pseudorandom restrictions [1, 18]. We give a randomness-efficient width-reduction process which proves that the branching program simplifies to an O(log n)-junta after only O(log log n) independent applications of the Forbes-Kelley pseudorandom restrictions [16].

שפת פרסום אנגלית
סטטוס פרסום פורסם - 01.09.2021
58

Keywords

Branching programs
Constant depth circuits
Pseudorandom generators

ASJC Scopus subject areas

Software
קבצים וקישורים אחרים
Link to publication in Scopus