Keynote address IV: The role of infinite dimensional direct adaptive control in autonomous systems and quantum information system

M. Balas
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Abstract

Many control systems are inherently infinite dimensional when they are described by partial differential equations. Currently, there is renewed interest in the control of these kinds of systems, especially in the quantum information field. Since the dynamics of these systems will not be perfectly known, it is especially of interest to control these systems adaptively and even autonomously via low-order finite-dimensional controllers. In our work, we have developed direct model reference adaptive control and disturbance rejection with very low-order adaptive gain laws for infinite-dimensional systems on Hilbert spaces. Quantum Information Systems are fundamentally infinite dimensional. And the basic operations that can be performed on quantum systems to manipulate information are unitary quantum gates. Because of the nature of entanglement at the quantum level, these gates suffer from decoherence and cannot operate in a fully unitary way. It is also quite difficult to perform experiments that would identify all the parametric data needed to create precise models of a particular quantum system. Instead, direct adaptive control that is suited to infinite dimensional systems could provide a reduction in the decoherence and allow the quantum gates to function in a more idealized unitary way. This talk will focus on the effect of infinite dimensionality on the adaptive control approach and the conditions required for asymptotic stability with adaptive control. Then I would like to go on and consider some of the issues in the control of quantum information systems. The topics here may sound highly technical, but I hope to give you a version of them that will be reasonably accessible and will still remain as exciting and attractive to you as they are to me.
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主题演讲四:无限维直接自适应控制在自主系统和量子信息系统中的作用
当用偏微分方程来描述控制系统时,许多控制系统本质上是无限维的。目前,人们对这类系统的控制重新产生了兴趣,特别是在量子信息领域。由于这些系统的动力学并不完全已知,因此通过低阶有限维控制器自适应甚至自主地控制这些系统是特别有趣的。在我们的工作中,我们开发了Hilbert空间上无限维系统的直接模型参考自适应控制和极低阶自适应增益律的干扰抑制。量子信息系统基本上是无限维的。可以在量子系统上执行的操纵信息的基本操作是幺正量子门。由于量子水平上纠缠的性质,这些门受到退相干的影响,不能以完全统一的方式运作。要进行实验来确定创建特定量子系统的精确模型所需的所有参数数据,也是相当困难的。相反,适合于无限维系统的直接自适应控制可以提供退相干的减少,并允许量子门以更理想的单一方式运行。本讲座将重点讨论无穷维数对自适应控制方法的影响以及自适应控制渐近稳定所需的条件。然后我想继续考虑量子信息系统控制中的一些问题。这里的主题可能听起来非常技术性,但我希望给你一个版本,它们将是合理的访问,并将仍然保持令人兴奋和吸引你,因为他们对我。
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