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Path integral renormalization for quantum dissipative dynamics with multiple timescales

机译:具有多个时间尺度的量子耗散动力学的路径积分重归一化

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The reduced density matrix of a system coupled to a harmonic dissipative bath can be obtained accurately using an iterative path integral methodology that involves a propagator tensor, whose rank is roughly equal to the number of time steps that span the bath-induced memory. The present work shows that even in situations where the bath is characterized by high-frequency modes (which necessitate a small time step) and slow oscillators (which give rise to very long memory), efficient propagation that takes into account the memory on all time scales is feasible by renormalizing the propagator matrix to include successively larger-length influence functional correlations. At its crudest level, the renormalized propagator is an ordinary matrix, thus the computational demands of the method are very modest, similar to those for propagating the bare system. Yet, test applications on dissipative two-level systems show that the method produces accurate results in demanding situations. By including memory on successively increasing time scales, the method is capable of capturing nonexponential kinetics induced by sluggish solvents.View full textDownload full textKeywordspath integral, dissipation, quantum dynamics, harmonic bathRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00268976.2012.680516
机译:可以使用涉及传播张量的迭代路径积分方法,精确地获得耦合到谐波耗散浴的系统的密度降低的矩阵,该传播张量的等级大致等于跨越浴引起的内存的时间步数。本工作表明,即使在浴以高频模式(需要较小的时间步长)和慢速振荡器(导致非常长的存储空间)为特征的情况下,有效的传播也始终考虑到存储空间通过对传播矩阵重新进行归一化以包含连续更大长度的影响函数相关性,可以使用小数位缩放。从最原始的角度看,重归一化的传播者是一个普通矩阵,因此该方法的计算需求非常适度,类似于传播裸系统的需求。然而,在耗散两级系统上的测试应用表明,该方法在苛刻的情况下可以产生准确的结果。通过在逐渐增加的时间尺度上包括内存,该方法能够捕获由缓慢溶剂引起的非指数动力学。查看全文下载关键字路径积分,耗散,量子动力学,谐波浴相关的var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,services_compact ::“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00268976.2012.680516

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