Quasipolynomial-time Identity Testing of Non-Commutative and Read-Once Oblivious Algebraic Branching Programs
Michael A. Forbes, Amir Shpilka

TL;DR
This paper presents the first quasi-polynomial black-box polynomial identity testing algorithms for read-once oblivious algebraic branching programs, with improved results for bounded width cases, advancing derandomization in algebraic complexity.
Contribution
It introduces quasi-polynomial-sized hitting sets for read-once oblivious ABPs with known variable order, and connects derandomization of algebraic problems to PIT of these ABPs.
Findings
First quasi-polynomial black-box PIT for read-once oblivious ABPs.
Hitting set size exp(lg^2 S) with seed length lg^2 S.
Improved hitting sets for bounded width ABPs with seed length lg^2 S/lglg S.
Abstract
We study the problem of obtaining deterministic black-box polynomial identity testing algorithms (PIT) for algebraic branching programs (ABPs) that are read-once and oblivious. This class has an deterministic white-box polynomial identity testing algorithm (due to Raz and Shpilka), but prior to this work there was no known such black-box algorithm. The main result of this work gives the first quasi-polynomial sized hitting sets for size S circuits from this class, when the order of the variables is known. As our hitting set is of size exp(lg^2 S), this is analogous (in the terminology of boolean pseudorandomness) to a seed-length of lg^2 S, which is the seed length of the pseudorandom generators of Nisan and Impagliazzo-Nisan-Wigderson for read-once oblivious boolean branching programs. Our results are stronger for branching programs of bounded width, where we give a hitting set of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Cryptography and Data Security · Advanced Graph Theory Research
