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A Hybrid Algorithm for the Shortest-Path Problem in the Graph

机译:图中最短路径问题的混合算法

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Quantum algorithms run on quantum computers are qualitatively different from those that run on classical computers. Quantum computing algorithms can be used for several problems in graph theory. Most of the Classical algorithms involve searching over some space for finding the shortest-paths problem between two points in a graph and a minimal weight spanning tree. We modified classical Dijkstra's algorithm and implement quantum search instead of classical search, of which it will lead to more efficient algorithm. Also we proposed the structure for non-classical algorithms and design the various phases of the probabilistic quantum-classical algorithm for classical and quantum parts. Finally, we represent the result of implementing and simulating Dijkstra's algorithm as the probabilistic quantum-classical algorithm.
机译:在量子计算机上运行的量子算法与在传统计算机上运行的算法在质量上有所不同。量子计算算法可用于图论中的几个问题。大多数经典算法都涉及在某些空间上进行搜索,以找到图中两点和最小权重生成树之间的最短路径问题。我们修改了经典的Dijkstra算法,并实现了量子搜索而不是经典搜索,这将导致更有效的算法。我们还提出了非经典算法的结构,并针对经典和量子零件设计了概率量子经典算法的各个阶段。最后,我们将实现和模拟Dijkstra算法作为概率量子经典算法的结果表示出来。

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