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What and Who

Quantum algorithms for search and optimization

Andris Ambainis
University of Latvia
INF Distinguished Lecture Series
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Thursday, 19 May 2022
16:00
60 Minutes
Virtual talk
Zoom
Saarbrücken

Abstract

Quantum algorithms are useful for a variety of problems in search and
> optimization. This line of work started with Grover's quantum search algorithm
> which achieved a quadratic speedup over naive exhaustive search but has now
> developed far beyond it.
>
> In this talk, we describe three recent results in this area:
>
> 1. We show that, for any classical algorithm that uses a random walk to find an
> object with some property (by walking until the random walker reaches such an
> object), there is an almost quadratically faster quantum algorithm
> (https://arxiv.org/abs/1903.07493 <https://arxiv.org/abs/1903.07493>).
>
> 2. We show that the best known exponential time algorithms for solving several
> NP-complete problems (such as Travelling Salesman Problem or TSP) can be
> improved quantumly  (https://arxiv.org/abs/1807.05209
> <https://arxiv.org/abs/1807.05209>). For example, for the
> TSP, the best known classical algorithm needs time O(2^n) but our quantum
> algorithm solves the problem in time O(1.728...^n).
>
> 3. We show a almost quadratic quantum speedup for a number of geometric problems
> such as finding three points that are on the same line
> (https://arxiv.org/abs/2004.08949 <https://arxiv.org/abs/2004.08949>).

Contact

Christina Fries
+49 681 9325 5722
--email hidden

Video Broadcast

Yes
945 7732 1297

Virtual Meeting Details

Zoom
945 7732 1297
205903
public

Christina Fries, 05/10/2022 12:26 -- Created document.