Treffer: QUANTUM ALGORITHMS FOR THE TRIANGLE PROBLEM

Title:
QUANTUM ALGORITHMS FOR THE TRIANGLE PROBLEM
Source:
SIAM journal on computing (Print). 37(2):413-424
Publisher Information:
Philadelphia, PA: Society for Industrial and Applied Mathematics, 2008.
Publication Year:
2008
Physical Description:
print, 32 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
CNRS-LRI, UMR 8623 Université Paris-Sud, 91405 Orsay, France
Department of Computer Science, Rutgers University, Piscataway, NJ 08854, United States
ISSN:
0097-5397
Rights:
Copyright 2008 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mathematics
Accession Number:
edscal.20249011
Database:
PASCAL Archive

Weitere Informationen

We present two new quantum algorithms that either find a triangle (a copy of K3) in an undirected graph G on n nodes, or reject if G is triangle free. The first algorithm uses combinatorial ideas with Grover Search and makes ? (n10/7) queries. The second algorithm uses ? (n13/10) queries and is based on a design concept of Ambainis [in Proceedings of the 45th IEEE Symposium on Foundations of Computer Science, 2004, pp. 22-31] that incorporates the benefits of quantum walks into Grover Search [L. Grover, in Proceedings of the Twenty-Eighth ACM Symposium on Theory of Computing, 1996, pp. 212-219]. The first algorithm uses only O(log n) qubits in its quantum subroutines, whereas the second one uses O(n) qubits. The Triangle Problem was first treated in [H. Buhrman et al., SIAM J. Comput., 34 (2005), pp. 1324-1330], where an algorithm with O(n + √nm) query complexity was presented, where m is the number of edges of G.