With bi-partitioning strategy, by maximizing the module density, an algorithm is proposed based on discrete quantum particle swarm optimization for complex network community detection.

采用二分策略，通过最大化模块密度，提出了基于离散量子粒子群优化进行复杂网络社区检测的算法。

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Quantum theory dictates that a very tiny thing can absorb energy only in discrete amounts, can never sit perfectly still, and can literally be in two places at once.

量子理论决定了每个微小物体只能吸收不连续的能量，且不能保持完美的静止，甚至能同时出现在两个地方。

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The standard limit on the precision with which a quantum measurement can be carried out is due to the statistical error associated with counting discrete particles rather than continuous quantities.

量子测量中精度的标准极限，源于与可计数离散粒子，而不是连续量相关的统计误差。

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