Subexponential-Time Framework for Optimal Embeddings of Graphs in Integer Lattices

Author(s):  
Anders Dessmark ◽  
Andrzej Lingas ◽  
Eva-Marta Lundell
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yinglei Song

Abstract In this paper, we study the parameterized complexity of the induced matching problem in hamiltonian bipartite graphs and the inapproximability of the maximum induced matching problem in hamiltonian bipartite graphs. We show that, given a hamiltonian bipartite graph, the induced matching problem is W[1]-hard and cannot be solved in time n o ⁢ ( k ) {n^{o(\sqrt{k})}} , where n is the number of vertices in the graph, unless the 3SAT problem can be solved in subexponential time. In addition, we show that unless NP = P {\operatorname{NP}=\operatorname{P}} , a maximum induced matching in a hamiltonian bipartite graph cannot be approximated within a ratio of n 1 / 4 - ϵ {n^{1/4-\epsilon}} , where n is the number of vertices in the graph.


2017 ◽  
Author(s):  
Alexandre de Castro

Recently, we showed that the controlled NOT function is a permutation that cannot be inverted in subexponential time in the worst case [Quantum Information Processing. 16:149 (2017)]. Here, we show that such a condition can provoke biased interpretations from Bell’s test experiments.


1969 ◽  
Vol 6 (02) ◽  
pp. 301-308
Author(s):  
A.M.V. Verhagen

A stochastic process in which any tree in a forest planted on an integer lattice eliminates its four neighbours when it exceeds their heights, is studied for the case when all heights are independent samples from a continuous distribution. The proportion of the trees of the forest eliminated in this manner is determined for both the one and the two dimensional integer lattices.


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