English

Tight Hardness of the Non-commutative Grothendieck Problem

Computational Complexity 2022-02-22 v3 Functional Analysis

Abstract

\newcommand{\eps}{\varepsilon} We prove that for any \eps>0\eps > 0 it is NP\textsf{NP}-hard to approximate the non-commutative Grothendieck problem to within a factor 1/2+\eps1/2 + \eps, which matches the approximation ratio of the algorithm of Naor, Regev, and Vidick (STOC'13). Our proof uses an embedding of 2\ell_2 into the space of matrices endowed with the trace norm with the property that the image of standard basis vectors is longer than that of unit vectors with no large coordinates. We also observe that one can obtain a tight NP\textsf{NP}-hardness result for the commutative Little Grothendieck problem; previously, this was only known based on the Unique Games Conjecture (Khot and Naor, Mathematika 2009).

Keywords

Cite

@article{arxiv.1412.4413,
  title  = {Tight Hardness of the Non-commutative Grothendieck Problem},
  author = {Jop Briët and Oded Regev and Rishi Saket},
  journal= {arXiv preprint arXiv:1412.4413},
  year   = {2022}
}

Comments

Published in Theory of Computing, Volume 13 (2017), Article 15; Received: February 2, 2016, Revised: January 20, 2017, Published: December 2, 2017