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Polynomial potentials and coupled quantum dots in two and three dimensions

机译:多项式电位和二维耦合量子点和三维

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Polynomial potentials V(x) = x(4) + O(x(2)) and V(x) = x(6) + O(x(4)) were introduced, in the Thom's purely geometric classification of bifurcations, as the benchmark models of the so called cusp catastrophes and of the so called butterfly catastrophes, respectively. Due to their asymptotically confining property, these two potentials are exceptional, viz., able to serve similar purposes even after quantization, in the presence of tunneling. In this paper the idea is generalized to apply also to quantum systems in two and three dimensions. Two related technical obstacles are addressed, both connected with the non-separability of the underlying partial differential Schrodinger equations. The first one [viz., the necessity of a non-numerical localization of the extremes (i.e., of the minima and maxima) of V(x, y,...)] is resolved via an ad hoc reparametrization of the coupling constants. The second one [viz., the necessity of explicit construction of the low lying bound states.(x, y,...)] is circumvented by the restriction of attention to the dynamical regime in which the individual minima of V(x, y,...) are well separated, with the potential being locally approximated by the harmonic oscillator wells simulating a coupled system of quantum dots (a.k.a. an artificial molecule). Subsequently it is argued that the measurable characteristics (and, in particular, the topologically protected probability-density distributions) could bifurcate in specific evolution scenarios called relocalization catastrophes. (C) 2020 Elsevier Inc. All rights reserved.
机译:多项式电位V(x)= x(4)+ O(x(2))和v(x)= x(6)+ o(x(4))在THOM的分岔纯几何分类中,如所谓的尖峰灾难的基准模型和所谓的蝴蝶灾难。由于它们的渐近密集的财产,这两个潜力是特殊的,即使在隧道的存在之后,也能够在量化之后服用类似的目的。在本文中,思想是推广的,也可以应用于两维的量子系统和三维。解决了两个相关的技术障碍,都与底层部分差分Schrodinger方程的不可分配相关。第一一个[viz。,通过耦合常数的ad hoc reparametization解析V(x,y,...)]的极端(即,最小值和最大值的最小值和最大值)的非数值定位的必要性。第二个[viz。,明确建设的低位界定的必要性。(x,y,...)]通过限制对V(x,的个体最小值y,......)分开得很好,电位由谐振子孔局部近似,模拟量子点的耦合系统(aka一种人造分子)。随后认为可测量的特性(以及特别地,拓扑保护的概率密度分布)可以在特定的演进场景中分叉,称为迁移灾难。 (c)2020 Elsevier Inc.保留所有权利。

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