计算机科学 ›› 2013, Vol. 40 ›› Issue (1): 233-235.

• 人工智能 • 上一篇    下一篇

动态控制场下一种改进的量子最优控制

黄泽霞,黄德才,俞攸红   

  1. (浙江工业大学信息学院 杭州310023);(绍兴文理学院元培学院信息与电子系 绍兴312000);(浙江工业大学计算机科学与技术学院软件学院 浙江310023);(浙江工业大学理学院物理系 杭州310023)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Improved Quantum Optimal Control in Dynamic Control Field

  • Online:2018-11-16 Published:2018-11-16

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 法和共扼梯度算法相比,改进算法在可靠性和收敛速度等方面都有明显提高。

关键词: 量子最优控制,共扼梯度算法,收敛速度

Abstract: 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 ex- periments. I}hcoretical analysis shows that this new algorithm exhibits significantly superior to class of quantum optimal control and the cojugate gradient method in reliability and convergence rate.

Key words: Qantum optimal control,Conjugate gradient method,Convergence rate

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