Aharonov–Jones–Landau algorithm

In computer science, the Aharonov–Jones–Landau (AJL) algorithm is an efficient quantum algorithm for obtaining an additive approximation of the Jones polynomial of a given link at an arbitrary root of unity. The algorithm was published in 2009 in a paper written by Dorit Aharonov, Vaughan Jones and Zeph Landau. The error in the additive approximation produced by the Aharonov–Jones–Landau algorithm depends on the input link. Finding an algorithm to additively or multiplicatively approximate the Jones polynomial in a way that the error does not depend on the input link is a #P-hard problem. The problem that the Aharonov–Jones–Landau problem solves is a BQP-complete problem.