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 in | SIAM journal on computing Vol. 35; no. 6; pp. 1310 - 1328 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Philadelphia, PA
Society for Industrial and Applied Mathematics
01.01.2006
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0097-5397 1095-7111 |
| DOI | 10.1137/050644719 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Christoph surname: Dürr fullname: Dürr, Christoph – sequence: 2 givenname: Mark surname: Heiligman fullname: Heiligman, Mark – sequence: 3 givenname: Peter surname: HOyer fullname: HOyer, Peter – sequence: 4 givenname: Mehdi surname: Mhalla fullname: 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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| 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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