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arXiv quant-ph/0310134quant-ph
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三角形问题的量子算法

Quantum Algorithms for the Triangle Problem

Frederic Magniez, Miklos Santha, Mario Szegedy

摘要:

我们提出了两个新的量子算法,要么找到一个三角形(一个副本$K_{3}$)在无向图$G$的$n$节点,或拒绝,如果$G$是三角免费的。第一个算法使用Grover搜索的组合思想,并进行$\tilde{O}(n^{10/7})$查询。第二个算法使用$\tilde{O}(n^{13/10})$查询,并且它基于Ambainis~ \cite{amb04}的设计概念,该设计概念将量子行走的优点并入Grover搜索~ \cite{gro96}。第一个算法在其量子子程序中只使用$O(\log n)$量子位,而第二个算法使用O(n)量子位。在\cite{bdhhmsw01}中首次提出了一种具有$O(n+\sqrt{nm})$查询复杂度的三角形问题算法,其中$m$是$G$的边数.

英文摘要:

We present two new quantum algorithms that either find a triangle (a copy of $K_{3}$) in an undirected graph $G$ on $n$ nodes, or reject if $G$ is triangle free. The first algorithm uses combinatorial ideas with Grover Search and makes $\tilde{O}(n^{10/7})$ queries. The second algorithm uses $\tilde{O}(n^{13/10})$ queries, and it is based on a design concept of Ambainis~\cite{amb04} that incorporates the benefits of quantum walks into Grover search~\cite{gro96}. The first algorithm uses only $O(\log n)$ qubits in its quantum subroutines, whereas the second one uses O(n) qubits. The Triangle Problem was first treated in~\cite{bdhhmsw01}, where an algorithm with $O(n+\sqrt{nm})$ query complexity was presented, where $m$ is the number of edges of $G$.

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