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.

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.

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.