Efficient quantum algorithm for identifying hidden polynomials

  • Authors:
  • Thomas Decker;Jan Draisma;Pawel Wocjan

  • Affiliations:
  • School of Computer Science, McGill University, Montreal, Quebec, Canada;Department of Mathematics and Computer Science, Technische Universiteit Eindhoven, Eindhoven, The Netherlands and Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands;School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL

  • Venue:
  • Quantum Information & Computation
  • Year:
  • 2009

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Abstract

We consider a natural generalization of an abelian Hidden Subgroup Problem where thesubgroups and their cosets correspond to graphs of linear functions over a finite field Fwith d elements. The hidden functions of the generalized problem are not restricted tobe linear but can also be m-variate polynomial functions of total degree n 2.The problem of identifying hidden m-variate polynomials of degree less or equalto n for fixed n and m is hard on a classical computer since Ω(√d) black-box queriesare required to guarantee a constant success probability. In contrast, we present aquantum algorithm that correctly identifies such hidden polynomials for all but a finitenumber of values of d with constant probability and that has a running time that is onlypolylogarithmic in d.