摘要
结合量子系统的自身特点,针对直接将经典最优控制应用到量子系统中所存在的可靠性不高、收敛速度较慢等问题,借助于动态迭代控制场提出了一种更高效、收敛性更好的单调收敛的改进量子最优控制算法(IQOCT)。通过系统仿真实验,对控制场权值、收敛速度以及迭代步进参数之间的关系作了详细的分析。结果表明,与一般最优算法和共轭梯度算法相比,改进算法在可靠性和收敛速度等方面都有明显提高。
According to the specialty of quantum systems,the reliability or the efficiency of a general optimal control scheme leaves much to be desired.This paper developed a special improved quantum optimal control method for using dynamic control field,which can be implemented as fast convergent algorithms.The relations among penalty of the field energy value,convergence speed and iteration step parameters were analyzed in detail through the system simulation experiments.Theoretical analysis shows that this new algorithm exhibits significantly superior to class of quantum optimal control and the conjugate gradient method in reliability and convergence rate.
出处
《计算机科学》
CSCD
北大核心
2013年第1期233-235,261,共4页
Computer Science
基金
国家自然科学基金项目(10774131)资助
关键词
量子最优控制
共轭梯度算法
收敛速度
Quantum optimal control
Conjugate gradient method
Convergence rate
