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arXiv 1405.6770math-phmath.MP
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量子Markov系统稳定性的Heisenberg图像方法

Heisenberg Picture Approach to the Stability of Quantum Markov Systems

Yu Pan, Hadis Amini, Zibo Miao, John Gough, Valery Ugrinovskii, Matthew R. James

摘要:

量子马尔可夫系统,在Hudson和Parthasarathy的量子随机演算中被建模为幺正膨胀,已经成为当前量子技术应用的标准。本文研究了这类系统的稳定性理论。为了稳定系统算符的演化以及量子态的基本动力学,导出了海森堡图像中的李雅普诺夫型条件。特别地,利用与该量子随机微分方程相关联的量子马尔可夫半群,我们得到了唯一且忠实不变的量子态存在和稳定的充分条件。进一步证明了量子不变性原理,将LaSalle不变性原理推广到了海森堡图像中的量子系统。这些结果制定的代数约束条件,适用于工程量子系统中使用的相干反馈网络。

英文摘要:

Quantum Markovian systems, modeled as unitary dilations in the quantum stochastic calculus of Hudson and Parthasarathy, have become standard in current quantum technological applications. This paper investigates the stability theory of such systems. Lyapunov-type conditions in the Heisenberg picture are derived in order to stabilize the evolution of system operators as well as the underlying dynamics of the quantum states. In particular, using the quantum Markov semigroup associated with this quantum stochastic differential equation, we derive sufficient conditions for the existence and stability of a unique and faithful invariant quantum state. Furthermore, this paper proves the quantum invariance principle, which extends the LaSalle invariance principle to quantum systems in the Heisenberg picture. These results are formulated in terms of algebraic constraints suitable for engineering quantum systems that are used in coherent feedback networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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