Toward Super-Polynomial Size Lower Bounds for Depth-Two Threshold Circuits
Abstract
Proving super-polynomial size lower bounds for , the class of constant-depth, polynomial-size circuits of Majority gates, is a notorious open problem in complexity theory. A major frontier is to prove that does not have poly-size circuit (depth-two circuits with linear threshold gates). In recent years, R.~Williams proposed a program to prove circuit lower bounds via improved algorithms. In this paper, following Williams' framework, we show that the above frontier question can be resolved by devising slightly faster algorithms for several fundamental problems: 1. Shaving Logs for \textsf{\ell_2-Furthest-Pair}. An time algorithm for \textsf{\ell_2-Furthest-Pair} in for polylogarithmic implies has no polynomial size circuits. The same holds for Hopcroft's problem, \textsf{Bichrom.-\ell_2-Closest-Pair} and Integer . 2. Shaving Logs for Approximate \textsf{Bichrom.-\ell_2-Closest-Pair}. An time algorithm for -approximation to \textsf{Bichrom.-\ell_2-Closest-Pair} or \textsf{Bichrom.-\ell_1-Closest-Pair} for polylogarithmic implies has no polynomial size circuits. 3. Shaving Logs for Modest Dimension Boolean . An time algorithm for Bichromatic Maximum Inner Product with vector dimension for any small constant would imply has no polynomial size circuits. Note there is an time algorithm via fast rectangle matrix multiplication. Our results build on two structure lemmas for threshold circuits.
Cite
@article{arxiv.1805.10698,
title = {Toward Super-Polynomial Size Lower Bounds for Depth-Two Threshold Circuits},
author = {Lijie Chen},
journal= {arXiv preprint arXiv:1805.10698},
year = {2018}
}
Comments
abstract shortened to meet the constraint