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arXiv 2008.07355math-phmath.MP
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量子测量的连续时间随机游走模型和量子随机滤波与控制的分数阶方程

Continuous time random walks modeling of quantum measurement and fractional equations of quantum stochastic filtering and control

Vassili N. Kolokoltsov

摘要:

量子随机滤波最初是在量子随机微积分的框架下发展起来的,后来量子随机滤波的主要方程被推导为在适当尺度下离散测量的马尔可夫模型的极限。在现代物理学的许多分支中,将随机游走模型扩展到连续时间随机游走(CTRW)模型变得流行,其中离散事件之间的时间被视为非指数。本文将CTRW模型应用于连续量子测量,得到了新的分数阶量子滤波时间演化方程,从而得到了新的开放系统量子力学分数阶方程。相关的量子控制问题和博弈可以用黎曼流形上的分数阶Hamilton-Jacobi-Bellman(HJB)方程来描述。顺便说一句,我们提供了一个完整的推导标准量子滤波方程,在修改的方式相比,现有的文本,(i)提供了明确的收敛速度(这是不可用的,通过以前开发的鞅方法的紧密性)和(ii)允许直接应用的基本结果的CTRW推导出最终的分数滤波方程。

英文摘要:

Initially developed in the framework of quantum stochastic calculus, the main equations of quantum stochastic filtering were later on derived as the limits of Markov models of discrete measurements under appropriate scaling. In many branches of modern physics it became popular to extend random walk modeling to the continuous time random walk (CTRW) modeling, where the time between discrete events is taken to be non-exponential. In the present paper we apply the CTRW modeling to the continuous quantum measurements yielding the new fractional in time evolution equations of quantum filtering and thus new fractional equations of quantum mechanics of open systems. The related quantum control problems and games turn out to be described by the fractional Hamilton-Jacobi-Bellman (HJB) equations on Riemannian manifolds. By-passing we provide a full derivation of the standard quantum filtering equations, in a modified way as compared with existing texts, which (i) provides explicit rates of convergence (that are not available via the tightness of martingales approach developed previously) and (ii) allows for the direct applications of the basic results of CTRWs to deduce the final fractional filtering equations.

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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