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.
用拟合误差设置量子旋转门的调整策略，缩小解空间取值范围。
The fitting error was introduced to design the adjust step of quantum rotation door, thus solution space was narrowed.
采用通用的量子旋转门策略和动态调整旋转角机制对个体进行演化；
In the individual's updating, the general quantum rotation gate strategy and dynamic adjusting rotation angle mechanism are applied to accelerate convergence.
针对量子旋转门的旋转角方向的选择，提出了一种简易快捷的新方法。
A convenient method to choose the direction of rotation Angle of quantum rotation gate is proposed.
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.
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.
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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