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arXiv 2508.11368quant-ph

通过数学概率理论解决量子到达时间问题的解

A solution of the quantum time of arrival problem via mathematical probability theory

Maik Reddiger

AI总结:

本文通过数学概率理论解决了量子到达时间问题,构建了理想探测器模型,并探讨了其在几何量子理论中的应用及未来研究方向。

摘要:

到达时间指的是粒子在发射后撞击到适当理想化探测器表面所需的时间。在量子理论中,目前尚无普遍接受的对应到达时间概率分布的解决方案。在本工作中,我们推导出一个单体在无其他力或障碍物的情况下撞击所谓理想探测器的一般解。还给出了这种情况下所谓的屏幕问题的解。在讨论所谓的“吸收边界条件”的不足之处后,我们通过数学概率理论构建了理想探测器模型。该探测器模型确保探测器表面的概率流始终为正,因此可以通过Daumer、Dürr、Goldstein和Zanghì最初建议的方法推导出相应的分布。所得到的动态模型基于Madelung方程的改编,并严格来说不与量子力学相容。然而,它在几何量子理论中被良好描述。几何量子理论是量子力学的一种新改编,使后者与数学概率理论相容。还提供了对一般测量理论的启示以及未来研究的途径。未来数学工作应聚焦于找到演算方程的适当分布形式,并研究相应柯西问题的适定性。

英文摘要:

Time of arrival refers to the time a particle takes after emission to impinge upon a suitably idealized detector surface. Within quantum theory, no generally accepted solution exists so far for the corresponding probability distribution of arrival times. In this work we derive a general solution for a single body without spin impacting on a so called ideal detector in the absence of any other forces or obstacles. A solution of the so called screen problem for this case is also given. After discussing the shortcomings of the so called "absorbing boundary condition", which is arguably the natural approach within quantum mechanics, we construct the ideal detector model via mathematical probability theory. This detector model assures that the probability flux through the detector surface is always positive, so that the corresponding distributions can be derived via an approach originally suggested by Daumer, Dürr, Goldstein, and Zanghì. The resulting dynamical model is based on an adaption of the Madelung equations and is, strictly speaking, not compatible with quantum mechanics. Still, it is well-described within geometric quantum theory. Geometric quantum theory is a novel adaption of quantum mechanics, which makes the latter consistent with mathematical probability theory. Implications to the general theory of measurement and avenues for future research are also provided. Future mathematical work should focus on finding an appropriate distributional formulation of the evolution equations and studying the well-posedness of the corresponding Cauchy problem.

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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