该算法采用量子比特概率编码方式构造染色体，由量子旋转门操作实现种群进化。
This algorithm codes the chromosomes in the way of quantum bit probability, and makes the population evolve by the operation of quantum gate.
算法采用量子比特表示信息素，用量子旋转门来更新信息素。
In the algorithm, the pheromone is expressed by quantum bits, and quantum rotation gates are used to update the ant pheromone.
分析量子计算的特点，对量子旋转门进行研究，给出了新的量子旋转门调整策略，并与离散二进制粒子群优化算法进行组合，提出了二进制量子粒子群优化算法。
According to the analysis of the characteristics of quantum computing and the research of quantum rotation gate, a new quantum rotation gate adjustment strategy was introduced.
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