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Application of abelplana formula for collapse and revival of rabi oscillations in JaynesCummings model

机译:Abelplana公式在JaynesCummings模型中狂犬病振荡的崩溃和恢复中的应用

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In this paper, we give an analytical treatment to study the behavior of the collapse and the revival of the Rabi oscillations in the JaynesCummings model (JCM). The JCM is an exactly soluble quantum mechanical model, which describes the interaction between a two-level atom and a single cavity mode of the electromagnetic field. If we prepare the atom in the ground state and the cavity mode in a coherent state initially, the JCM causes the collapse and the revival of the Rabi oscillations many times in a complicated pattern in its time-evolution. In this phenomenon, the atomic population inversion is described with an intractable infinite series. (When the electromagnetic field is resonant with the atom, the nth term of this infinite series is given by a trigonometric function for $sqrt{n} t$, where t is a variable of the time.) According to Klimov and Chumakov's method, using the AbelPlana formula, we rewrite this infinite series as a sum of two integrals. We examine the physical meanings of these two integrals and find that the first one represents the initial collapse (the semi-classical limit) and the second one represents the revival (the quantum correction) in the JCM. Furthermore, we evaluate the first- and second-order perturbations for the time-evolution of the JCM with an initial thermal coherent state for the cavity mode at low temperature, and write down their correction terms as sums of integrals by making use of the AbelPlana formula.
机译:在本文中,我们进行了分析处理,以研究JaynesCummings模型(JCM)中崩溃和Rabi振荡的恢复行为。 JCM是一个完全可溶的量子力学模型,它描述了两级​​原子和电磁场的单腔模式之间的相互作用。如果我们最初将原子准备成基态和腔态,并且处于相干态,则JCM会导致Rabi振荡的崩溃和复活以其时间演化的复杂模式多次发生。在这种现象下,原子团的倒置被描述为一个无穷的无穷级数。 (当电磁场与原子共振时,该无限级数的第n个项由$ sqrt {n} t $的三角函数给定,其中t是时间的变量。)根据Klimov和Chumakov方法,使用AbelPlana公式,我们将该无限级数重写为两个积分之和。我们检查了这两个积分的物理含义,发现第一个表示JCM中的初始坍塌(半经典极限),第二个表示复兴(量子校正)。此外,我们评估了低温下腔模的初始热相干状态的JCM时间演化的一阶和二阶扰动,并利用AbelPlana写下了它们的校正项作为积分之和。式。

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