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From Continuous-Time Random Walks to Continuous-Time Quantum Walks: Disordered Networks

机译:从连续时间随机散步到连续时间量子播放:无序网络

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Recent years have seen a growing interest in dynamical quantum processes; thus it was found that the electronic energy transfer through photosynthetic antennae displays quantum features, aspects also known from the dynamics of charge carriers along polymer backbones. Hence, in modeling energy transfer one has to extend the classical, master-equation-type formalism and incorporate quantum-mechanical aspects, while still aiming to describe complex networks of molecules over which the transport takes place. The continuous time random walk (CTRW) scheme is widely employed in modeling transport in random environments (Sokolov et al, Phys Today 55∶48, 2002) and is mathematically akin to quantum-mechanical Hamiltonians of tight-binding type (Muelken and Blumen, Phys Rep 502∶37, 2011; Muelken and Blumen, Phys Rev E 73∶066117, 2006); a simple way to see it is to focus on the time-evolution operators in statistical and in quantum mechanics: The transition to the quantal domain leads then to continuous-time quantum walks (CTQW). In this way the CTQW problem stays linear, and thus many results obtained in solving CTRW (such as eigenvalues and eigenfunctions) can be readily reutilized for CTQW. However, the physically relevant properties of the two models differ vastly: In the absence of traps CTQW are time-inversion symmetric and no energy equipartition takes place at long times. Also, the quantum system keeps memory of the initial conditions, a fact exemplified by the occurrence of quasi-revivals (Muelken and Blumen, Phys Rep 502∶37, 2011). Here we will exemplify the vastly different behaviors of CTQW and CTRW on disordered networks, namely on small-world networks (Muelken et al, Phys Rev E 76∶051125, 2007) and on star-graphs with randomly added bonds (Anishchenko et al, Quantum Inf Process 11:1273,2012).
机译:近年来,对动态量子流程的兴趣日益增长;因此,发现通过光合天线的电子能量传递显示量子特征,从沿着聚合物骨架的电荷载体的动力学中也已知的方面。因此,在建模能量转移中,一个必须延长经典的主级类型形式主义并包含量子机械方面,同时仍旨在描述运输发生的分子的复杂网络。连续时间随机步行(CTRW)方案广泛用于在随机环境中建模运输(SOKOLOV等人,PHOME今天55:48,2002),并且在数学上类似于额切类型的量子 - 机械哈密顿人(Muelken和Blumen, Phys Rep 502:37,2011; Muelken和Blumen,Phys Rev E 73:066117,2006);一种简单的方式来看它是专注于统计和量子力学中的时间进化运营商:向量子域的过渡导致连续时间量子流量(CTQW)。以这种方式,CTQW问题保持线性,因此在求解CTRW(例如特征值和特征函数)中获得的许多结果可以易于用于CTQW。然而,两种模型的物理相关性质差异很大:在没有陷阱CTQW的情况下是时间反转对称,并且在很长时间没有能量备分。此外,量子系统保持初始条件的记忆,这是通过拟倒置的发生(Muelken和Blumen,Phys Rep 502:37,2011)的事实。在这里,我们将举例说明CTQW和CTRW在无序网络上的不同行为,即小世界网络(Muelken等,Phy,Phys Rev E 76:051125,2007)以及随机添加的债券的星形图(Anishchenko等,量子米过程11:1273,2012)。

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