【Key words】 Quantum chromosome； evolution； probability； multi-user detection； particle swarm optimization；
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It operates variables upon a universal quantum chromosome collectively. Thus it can adjust evolutionary intensity dynamically and consider evolutionary orientation depending on generated function of rotation angle.
算法将多个变量集中作用于一个通用量子染色体上,从而动态地调整进化强度并依据旋转角生成函数确定进化方向。
参考来源 - 几种新的混合遗传算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
到目前为止，对于量子点的需求相对很小：比如说，它们被用于医疗成像上，做为一种高稳定性与超亮染色体的形式。
So far, demand for quantum dots has been relatively small: they are used in medical imaging, for example, as a form of highly stable and extremely bright dye.
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.
使用量子比特编码染色体，构造一种新的用于普通染色体的全干扰交叉操作。
It adopts quantum bits code chromosome, and constructs a new entirety interference crossover which ACTS on general chromosome crossover manipulation.
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