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arXiv 1202.0946quant-phcs.SYeess.SYmath.OCmath.PR
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基于哈密顿量二次近似的开放量子系统高斯随机线性化

Gaussian Stochastic Linearization for Open Quantum Systems Using Quadratic Approximation of Hamiltonians

University of New South Wales at the Australian Defence Force Academy(新南威尔士大学澳大利亚国防军学院)

Igor G. Vladimirov, Ian R. Petersen

AI总结:

针对非二次哈密顿量的开放量子系统,通过将实际哈密顿量近似为二次函数,提出一种基于高斯参考态均方最优的随机线性化方法,并应用于量子Duffing振荡器,为非线性量子系统的次优控制器和滤波器设计提供基础。

摘要:

本文将随机线性化方法的能量基版本(已知用于经典非线性系统)扩展到具有正则对易动态变量并由非二次哈密顿量的量子随机微分方程支配的开放量子系统。线性化通过将量子系统的实际哈密顿量近似为其可观测量的二次函数(对应于量子谐振子的哈密顿量)来进行。该近似在均方最优意义下相对于高斯参考量子态执行,并导致一个自洽的线性化过程,其中系统可观测量的均值向量和量子协方差矩阵根据有效线性动力学随时间演化。我们针对量子Duffing振荡器演示了所提出的基于哈密顿量的高斯线性化,其哈密顿量是动量和位置算符的四次多项式。本文的结果适用于非线性量子系统的次优控制器和滤波器设计。

英文摘要:

This paper extends the energy-based version of the stochastic linearization method, known for classical nonlinear systems, to open quantum systems with canonically commuting dynamic variables governed by quantum stochastic differential equations with non-quadratic Hamiltonians. The linearization proceeds by approximating the actual Hamiltonian of the quantum system by a quadratic function of its observables which corresponds to the Hamiltonian of a quantum harmonic oscillator. This approximation is carried out in a mean square optimal sense with respect to a Gaussian reference quantum state and leads to a self-consistent linearization procedure where the mean vector and quantum covariance matrix of the system observables evolve in time according to the effective linear dynamics. We demonstrate the proposed Hamiltonian-based Gaussian linearization for the quantum Duffing oscillator whose Hamiltonian is a quadro-quartic polynomial of the momentum and position operators. The results of the paper are applicable to the design of suboptimal controllers and filters for nonlinear quantum systems.

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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