Quantum Query Complexity of Some Graph Problems

Quantum algorithms for graph problems are considered, both in the adjacency matrix model and in an adjacency list-like array model. We give almost tight lower and upper bounds for the bounded error quantum query complexity of Connectivity, Strong Connectivity, Minimum Spanning Tree, and Single Sourc...

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Published inSIAM journal on computing Vol. 35; no. 6; pp. 1310 - 1328
Main Authors Dürr, Christoph, Heiligman, Mark, HOyer, Peter, Mhalla, Mehdi
Format Journal Article
LanguageEnglish
Published Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2006
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ISSN0097-5397
1095-7111
DOI10.1137/050644719

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Abstract Quantum algorithms for graph problems are considered, both in the adjacency matrix model and in an adjacency list-like array model. We give almost tight lower and upper bounds for the bounded error quantum query complexity of Connectivity, Strong Connectivity, Minimum Spanning Tree, and Single Source Shortest Paths. For example, we show that the query complexity of Minimum Spanning Tree is in $\Theta(n^{3/2})$ in the matrix model and in $\Theta(\sqrt{nm})$ in the array model, while the complexity of Connectivity is also in $\Theta(n^{3/2})$ in the matrix model but in $\Theta(n)$ in the array model. The upper bounds utilize search procedures for finding minima of functions under various conditions.
AbstractList Quantum algorithms for graph problems are considered, both in the adjacency matrix model and in an adjacency list-like array model. We give almost tight lower and upper bounds for the bounded error quantum query complexity of Connectivity, Strong Connectivity, Minimum Spanning Tree, and Single Source Shortest Paths. For example, we show that the query complexity of Minimum Spanning Tree is in $\Theta(n^{3/2})$ in the matrix model and in $\Theta(\sqrt{nm})$ in the array model, while the complexity of Connectivity is also in $\Theta(n^{3/2})$ in the matrix model but in $\Theta(n)$ in the array model. The upper bounds utilize search procedures for finding minima of functions under various conditions.
We investigate what quantum advantages can be obtained in multipartite non-cooperative games by studying how different types of quantum resources can lead to new Nash equilibria and improve social welfare — a measure of the quality of an equilibrium. Two different quantum settings are analysed: a first, in which players are given direct access to an entangled quantum state, and a second, which we introduce here, in which they are only given classical advice obtained from quantum devices. For a given game G , these two settings give rise to different equilibria characterised by the sets of equilibrium correlations Q corr ( G ) and Q ( G ) , respectively. We show that Q ( G ) ⊆ Q corr ( G ) , and by exploiting the self-testing property of some correlations, that the inclusion is strict for some games G . We make use of SDP optimisation techniques to study how these quantum resources can improve social welfare, obtaining upper and lower bounds on the social welfare reachable in each setting. We investigate, for several games involving conflicting interests, how the social welfare depends on the bias of the game and improve upon a separation that was previously obtained using pseudo-telepathic solutions.
Author Heiligman, Mark
Dürr, Christoph
HOyer, Peter
Mhalla, Mehdi
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Keywords 68W20
Lower bound
Quantum algorithm
Error estimation
05C85
minimum spanning tree
Shortest path
Adjacency matrix
Graph theory
Complexity
Upper bound
81-04
connectivity
Graph connectivity
Spanning tree
68R10
single source shortest paths
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References R2
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Snippet Quantum algorithms for graph problems are considered, both in the adjacency matrix model and in an adjacency list-like array model. We give almost tight lower...
We investigate what quantum advantages can be obtained in multipartite non-cooperative games by studying how different types of quantum resources can lead to...
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SubjectTerms Algorithmics. Computability. Computer arithmetics
Algorithms
Applied sciences
Arrays
Combinatorics
Combinatorics. Ordered structures
Computer Science
Computer science; control theory; systems
Connectivity
Exact sciences and technology
Graph theory
Graphs
Information retrieval. Graph
Mathematics
Queries
R&D
Research & development
Sciences and techniques of general use
Theoretical computing
Title Quantum Query Complexity of Some Graph Problems
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