Calculation of the tunneling time using the extended probability of the quantum histories approach
Introduction
Quantum tunneling is one of the most important quantum phenomena. Various tunneling times can be determined based on characterizing the time spent by a particle under the barrier. They are expressed in terms of the derivatives of the transmission coefficient or the reflection coefficient . For example, the Larmor time was first introduced by Baz [1], [2] in a thought experiment designed to measure the time associated with scattering events. The Larmor times for transmission and reflection can be obtained respectively from where V is the hight of a square potential barrier.
Another example is the Büttiker–Landauer time [3], [4] that invokes an oscillatory barrier to estimate the tunneling time. The original static barrier is augmented by small oscillations in the barrier height. The Büttiker–Landauer expressions for transmission and reflection times are given as respectively.
Sokolovski and Baskin [5] presented an identity connecting the dwell time and the complex time as where is an energy of the free particle.
Hauge and Støvneng [6] also proved Eq. (3) and suggested that the transmission and the reflection are mutually exclusive events. Steinberg [7] used conditional probability to define the dwell time. He proposed that the dwell time distribution consists of two parts, one from transmission and another from reflection. In spite of these results, we still do not know how the dwell time can be decomposed. In 2004, Yamada [8] derived four tunneling times in a unified manner without relying on any specific models by using the Gell-Mann and Hartle (GMH) decoherence functional [9] to define the following quantity To understand the physical meaning of the quantity , it is necessary to explore the relationship between and the essential ideas of extended probability in quantum history [10], [11], [12].
In this paper, we discuss how the dwell time distribution is determined by the extended probabilities of alternative histories, which are decomposed into three elements. This formulation is compared with the GMH decoherence functional. The natural occurrence of the dwell time is given by the weighted average of three mutually exclusive events. We introduce a dwell time as the time for the particle to remain in a given region. Then we consider the dwell time for a resonance potential barrier. This gives a time that contributes to the dwell time in the long-time limit. Finally, we present our conclusions in Section 4.
Section snippets
The conditional probability for the dwell time
From quantum theory [13], let us consider the statistics of making a measurement as given by the projection operator : where is the probability of having the outcome γ and is initially an arbitrary density matrix. The conventional statistics of the histories are governed by a chain operator for discrete measurement where are projection operators corresponding to an event α at time .
In most pictures of the quantum history, the
The dwell time for a finite-range potential barrier
Let us consider the one-dimensional case of a potential barrier corresponding to an arbitrary finite range from to and for otherwise. Assuming that the initial state is chosen to be Our problem is to solve the time-dependent Schrödinger equation (TDSE) in 1D, The Laplace transform of the TDSE solution is written in the standard definition Following Refs. [23], [24], the Laplace transformed solution
Conclusions
In conclusion, we have shown that the weighted average relation for the dwell time, Eq. (27) is given as the statistical average of τ over the extended probability distribution, decomposed into three mutually exclusive events. In a simple way, we can obtain transmission (or reflection) times respectively, of Larmor and Büttiker–Landauer, and , by means of a time average over the joint extended probability. This formulation is compared with the method using the decoherence
Acknowledgements
The author would like to thanks J.S. Briggs and S. Khemmani for invaluable comments. We also would like to thank the Graduate School and the Faculty of Science at Kasetsart University for support.
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