Korol Roman, Chen Xinxian, Franco Ignacio
Department of Chemistry, University of Rochester, Rochester, New York 14627, United States.
Department of Physics, University of Rochester, Rochester, New York 14627, United States.
J Phys Chem A. 2025 Apr 17;129(15):3587-3596. doi: 10.1021/acs.jpca.5c00943. Epub 2025 Apr 4.
Recent advances in numerically exact quantum dynamics methods have brought the dream of accurately modeling the dynamics of chemically complex open systems within reach. Path-integral-based methods, hierarchical equations of motion, and quantum analog simulators all require the spectral density (SD) of the environment to describe its effect on the system. Here, we focus on the decoherence dynamics of electronically excited species in solution in the common case where nonradiative electronic relaxation dominates and is much slower than electronic dephasing. We show that the computed relaxation rate is highly sensitive to the choice of SD representation─such as the Drude-Lorentz or Brownian modes─or strategy used to capture the main SD features, even when early-time dephasing dynamics remains robust. The key reason is that electronic relaxation is dominated by the resonant contribution from the high-frequency tails of the SD, which are orders of magnitude weaker than the main features of the SD and can vary significantly between strategies. This finding highlights an important, yet overlooked, numerical challenge: obtaining an accurate SD requires capturing its structure over several orders of magnitude to ensure correct decoherence dynamics at both early and late times. To address this, we provide a simple transformation that recovers the correct relaxation rates in quantum simulations constrained by algorithmic or physical limitations on the shape of the SD. Our findings enable a comparison of different numerically exact simulation methods and expand the capabilities of analog simulations of open quantum dynamics.
数值精确量子动力学方法的最新进展已使精确模拟化学复杂开放系统动力学的梦想触手可及。基于路径积分的方法、层级运动方程和量子模拟模拟器都需要环境的谱密度(SD)来描述其对系统的影响。在此,我们聚焦于溶液中电子激发态物种的退相干动力学,这是一种常见情况,即非辐射电子弛豫占主导且比电子退相干慢得多。我们表明,计算得到的弛豫速率对SD表示的选择(如德鲁德 - 洛伦兹或布朗模式)或用于捕捉主要SD特征的策略高度敏感,即便早期退相干动力学保持稳健。关键原因是电子弛豫由SD高频尾部的共振贡献主导,这些贡献比SD的主要特征弱几个数量级,并且在不同策略之间可能有显著差异。这一发现凸显了一个重要但被忽视的数值挑战:获得准确的SD需要捕捉其跨越几个数量级的结构,以确保在早期和晚期都有正确的退相干动力学。为解决此问题,我们提供了一种简单变换,可在受SD形状的算法或物理限制约束的量子模拟中恢复正确的弛豫速率。我们的研究结果能够对不同的数值精确模拟方法进行比较,并扩展开放量子动力学模拟的能力。