A quantum walk algorithm can detect the presence of a marked vertex on a
graph quadratically faster than the corresponding random walk algorithm
(Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked
element quadratically faster than a classical random walk were only known for
the special case when the marked set consists of just a single vertex, or in
the case of some specific graphs. We present a new quantum algorithm for
finding a marked vertex in any graph, with any set of marked vertices, that is
(up to a log factor) quadratically faster than the corresponding classical
random walk.
Description
Quadratic speedup for finding marked vertices by quantum walks
%0 Generic
%1 ambainis2019quadratic
%A Ambainis, Andris
%A Gilyén, András
%A Jeffery, Stacey
%A Kokainis, Martins
%D 2019
%K q_machine_learning
%T Quadratic speedup for finding marked vertices by quantum walks
%U http://arxiv.org/abs/1903.07493
%X A quantum walk algorithm can detect the presence of a marked vertex on a
graph quadratically faster than the corresponding random walk algorithm
(Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked
element quadratically faster than a classical random walk were only known for
the special case when the marked set consists of just a single vertex, or in
the case of some specific graphs. We present a new quantum algorithm for
finding a marked vertex in any graph, with any set of marked vertices, that is
(up to a log factor) quadratically faster than the corresponding classical
random walk.
@misc{ambainis2019quadratic,
abstract = {A quantum walk algorithm can detect the presence of a marked vertex on a
graph quadratically faster than the corresponding random walk algorithm
(Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked
element quadratically faster than a classical random walk were only known for
the special case when the marked set consists of just a single vertex, or in
the case of some specific graphs. We present a new quantum algorithm for
finding a marked vertex in any graph, with any set of marked vertices, that is
(up to a log factor) quadratically faster than the corresponding classical
random walk.},
added-at = {2019-05-15T12:19:40.000+0200},
author = {Ambainis, Andris and Gilyén, András and Jeffery, Stacey and Kokainis, Martins},
biburl = {https://www.bibsonomy.org/bibtex/2ac9b287c5e80aa4d81228ec08ce49353/annapappa},
description = {Quadratic speedup for finding marked vertices by quantum walks},
interhash = {5f7569078ae894fc92d0b5e5374ececd},
intrahash = {ac9b287c5e80aa4d81228ec08ce49353},
keywords = {q_machine_learning},
note = {cite arxiv:1903.07493Comment: 21 pages, 7 figures},
timestamp = {2019-05-15T12:19:40.000+0200},
title = {Quadratic speedup for finding marked vertices by quantum walks},
url = {http://arxiv.org/abs/1903.07493},
year = 2019
}