logo SBA

ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-07032023-213929


Tipo di tesi
Tesi di laurea magistrale
Autore
FULGINITI, INNOCENZO
URN
etd-07032023-213929
Titolo
Towards a quantum version of the Markov Clustering Algorithm
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA
Relatori
relatore Prof.ssa Bernasconi, Anna
relatore Prof.ssa Del Corso, Gianna Maria
relatore Dott. Berti, Alessandro
Parole chiave
  • markov clustering algorithm
  • quantum clustering
  • quantum computing
Data inizio appello
21/07/2023
Consultabilità
Completa
Riassunto
Quantum computing is an emerging technology that uses the principles of quantum mechanics to solve problems faster than classical computers. In recent years, a growing number of new quantum methods have been proposed.
In this thesis, we investigate the possibility of realising a quantum version of a well-known graph-based clustering algorithm, the Markov Clustering algorithm. We propose a quantum procedure to show how, by exploiting quantum computing, it is possible to achieve a speedup in terms of time complexity for this algorithm, moving from O(N^3) to O(N^2 log N) for graphs of N nodes.
File