In 2017, Krenn reported that certain problems related to the perfect matchings and colourings of graphs emerge out of studying the constructability of general quantum states using modern photonic technologies. He realized that if we can prove that the \emph{weighted matching index} of a graph, a parameter defined in terms of perfect matchings and colourings of the graph is at most 2, that could lead to exciting insights on the potential of resources of quantum inference. Motivated by this, he conjectured that the {weighted matching index} of any graph is at most 2. The first result on this conjecture was by Bogdanov, who proved that the \emph{(unweighted) matching index} of graphs (non-isomorphic to $K_4$) is at most 2, thus classifying graphs non-isomorphic to $K_4$ into Type 0, Type 1 and Type 2. By definition, the weighted matching index of Type 0 graphs is 0. We give a structural characterization for Type 2 graphs, using which we settle Krenn's conjecture for Type 2 graphs. Using this characterization, we provide a simple $O(|V||E|)$ time algorithm to find the unweighted matching index of any graph. In view of our work, Krenn's conjecture remains to be proved only for Type 1 graphs. We give upper bounds for the weighted matching index in terms of connectivity parameters for such graphs. Using these bounds, for a slightly simplified version, we settle Krenn's conjecture for the class of graphs with vertex connectivity at most 2 and the class of graphs with maximum degree at most 4. Krenn has been publicizing his conjecture in various ways since 2017. He has even declared a reward for a resolution of his conjecture. We hope that this article will popularize the problem among computer scientists.
翻译:2017年, Krenn 报告说, 与图形的完美匹配和颜色相关的某些问题出现在使用现代光度技术研究普通量子状态构建性的过程中。 他意识到, 如果我们能够证明图形( 一个图形的完美匹配和颜色定义的参数最多为2, 这可能导致对量子推断资源潜力的令人兴奋的洞察力。 受此启发, 他推测任何图形的{ 加权匹配指数} 最多为 2 2 。 这个预测的第一个结果是 Bogdanov, 他证明了一个图形( 一个非光度匹配和图形颜色的匹配指数 ) 的\ emph{ (未加权) 匹配索引} 。 一个图形( 一个非光度匹配值为 $4 4 ) 的参数, 从而将非光度的图形分类为 0 类型 1 和 类型 2 。 我们的正值匹配指数的指数是 0 。 我们用 2 类型 的 的 的 结构描述, 我们用直径端的直径直值 直径的直径的直径直径直径直径直径直值 。