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Quantum annealing has the potential to find low energy solutions of NP-hard problems that can be expressed as quadratic unconstrained binary optimization problems. However, the hardware of the quantum annealer manufactured by D-Wave…

量子物理 · 物理学 2024-01-22 Elijah Pelofske , Georg Hahn , Hristo N. Djidjev

Traditional representations of graphs and their duals suggest the requirement that the dual vertices be placed inside their corresponding primal faces, and the edges of the dual graph cross only their corresponding primal edges. We consider…

计算几何 · 计算机科学 2007-05-23 C. Erten , S. G. Kobourov

Chen, Faudree, Gould, Jacobson, and Lesniak determined the minimum degree threshold for which a balanced $k$-partite graph has a Hamiltonian cycle. We give an asymptotically tight minimum degree condition for Hamiltonian cycles in arbitrary…

组合数学 · 数学 2019-10-10 Louis DeBiasio , Robert A. Krueger , Dan Pritikin , Eli Thompson

Heterogeneous graphs (HGs) also known as heterogeneous information networks have become ubiquitous in real-world scenarios; therefore, HG embedding, which aims to learn representations in a lower-dimension space while preserving the…

社会与信息网络 · 计算机科学 2020-12-02 Xiao Wang , Deyu Bo , Chuan Shi , Shaohua Fan , Yanfang Ye , Philip S. Yu

Geometric embedding of graphs in a point set in the plane is a well known problem. In this paper, the complexity of a variant of this problem, where the point set is bounded by a simple polygon, is considered. Given a point set in the plane…

计算几何 · 计算机科学 2009-08-28 Alireza Bagheri , Mohammadreza Razzazi

In order to treat all-to-all connected quadratic binary optimization problems (QUBO) with hardware quantum annealers, an embedding of the original problem is required due to the sparsity of the hardware's topology. Embedding fully-connected…

量子物理 · 物理学 2021-11-04 Mario S. Könz , Wolfgang Lechner , Helmut G. Katzgraber , Matthias Troyer

A graph covering projection, also referred to as a locally bijective homomorphism, is a mapping between the vertices and edges of two graphs that preserves incidences and is a local bijection. This concept originates in topological graph…

离散数学 · 计算机科学 2025-07-02 Jan Bok , Jiří Fiala , Nikola Jedličková , Jan Kratochvíl

The complexity of a reasoning task over a graphical model is tied to the induced width of the underlying graph. It is well-known that the conditioning (assigning values) on a subset of variables yields a subproblem of the reduced complexity…

数据结构与算法 · 计算机科学 2012-07-19 Bozhena Bidyuk , Rina Dechter

Photonic integration of thick holograms in waveguiding structures could be considered the chimera of photonics; multi-faceted and hard to tame. It is the fundamental, and hence indispensable, concept behind compact and monolithically…

光学 · 物理学 2024-12-16 Daniel Brunner

We perform a systematic study in the computational complexity of the connected variant of three related transversal problems: Vertex Cover, Feedback Vertex Set, and Odd Cycle Transversal. Just like their original counterparts, these…

数据结构与算法 · 计算机科学 2017-09-22 Nina Chiarelli , Tatiana R. Hartinger , Matthew Johnson , Martin Milanič , Daniël Paulusma

The Minimum Path Cover (MPC) problem consists of finding a minimum-cardinality set of node-disjoint paths that cover all nodes in a given graph. We explore a variant of the MPC problem on acyclic digraphs (DAGs) where, given a subset of…

离散数学 · 计算机科学 2025-01-17 Nour ElHouda Tellache , Roberto Baldacci

We show that c-planarity is solvable in quadratic time for flat clustered graphs with three clusters if the combinatorial embedding of the underlying graph is fixed. In simpler graph-theoretical terms our result can be viewed as follows.…

计算几何 · 计算机科学 2016-08-26 Radoslav Fulek

Quantum annealing is a generic solver for optimization problems that uses fictitious quantum fluctuation. The most groundbreaking progress in the research field of quantum annealing is its hardware implementation, i.e., the so-called…

量子物理 · 物理学 2020-02-14 Masayuki Ohzeki

We study the computational complexity of the problem $\#\text{IndSub}(\Phi)$ of counting $k$-vertex induced subgraphs of a graph $G$ that satisfy a graph property $\Phi$. Our main result establishes an exhaustive and explicit classification…

计算复杂性 · 计算机科学 2022-03-30 Jacob Focke , Marc Roth

In this paper, two results are obtained on a hypergraph embedding problem. The proof technique is itself of interest, being the first time amalgamations have been used to address the embedding of hypergraphs. The first result finds…

组合数学 · 数学 2017-10-18 Amin Bahmanian , Chris Rodger

This study addresses the minor-embedding problem, which involves mapping the variables of an Ising model onto a quantum annealing processor. The primary motivation stems from the observed performance disparity of quantum annealers when…

量子物理 · 物理学 2026-03-18 Aitor Gomez-Tejedor , Eneko Osaba , Esther Villar-Rodriguez

It is a well-known fact that hamiltonicity in planar cubic graphs is an NP-complete problem. This implies that the existence of an A-trail in plane eulerian graphs is also an NP-complete problem even if restricted to planar 3-connected…

组合数学 · 数学 2018-06-19 Behrooz Bagheri Gh. , Tomas Feder , Herbert Fleischner , Carlos Subi

Consider a problem where we are given a bipartite graph H with vertices arranged on two horizontal lines in the plane, such that the two sets of vertices placed on the two lines form a bipartition of H. We additionally require that H admits…

计算复杂性 · 计算机科学 2017-12-27 Grzegorz Guśpiel

Isoradial embeddings of planar graphs play a crucial role in the study of several models of statistical mechanics, such as the Ising and dimer models. Kenyon and Schlenker give a combinatorial characterization of planar graphs admitting an…

组合数学 · 数学 2021-10-06 Cédric Boutillier , David Cimasoni , Béatrice de Tilière

Kontsevich's graphs allow encoding multi-vectors whose coefficients are differential-polynomial in the coefficients of a given Poisson bracket on an affine real manifold. Encoding formulas by directed graphs adapts to the class of…

组合数学 · 数学 2026-04-07 Mollie S. Jagoe Brown , Arthemy V. Kiselev