
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
doi: 10.5281/zenodo.58287
The element distinctness problem consists in finding, given a list of elements, if there is some collision (two or more equal elements). The quantum algorithm for element distinctness was first proposed by Ambainis and uses important concepts of quantum walks. Ambainis' algorithm performs a quantum walk over the edges of a Johnson graph while searches for a marked vertex. Szegedy generalized this process into a quantum walk model on bipartite graphs, leading to the formulation of other important algorithms. Recently, Portugal et al. introduced the staggered quantum walk, a novel quantum walk model which includes Szegedy's model as a particular case. In this work, we reformulate the element distinctness quantum algorithm using a staggered quantum walk. We show that our new formulation requires less memory than the original one while keeping the same query complexity.
quantum algoritms, staggered quantum walks, quantum walks, element distinctness
quantum algoritms, staggered quantum walks, quantum walks, element distinctness
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
views | 2 | |
downloads | 2 |