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自旋动力学模拟中活动空间的目标态筛选。

Destination state screening of active spaces in spin dynamics simulations.

机构信息

Oxford e-Research Centre, University of Oxford, 7 Keble Road, Oxford OX1 3QG, UK.

出版信息

J Magn Reson. 2011 Jun;210(2):228-32. doi: 10.1016/j.jmr.2011.03.010. Epub 2011 Mar 11.

Abstract

We propose a novel avenue for state space reduction in time domain Liouville space spin dynamics simulations, using detectability as a selection criterion--only those states that evolve into or affect other detectable states are kept in the simulation. This basis reduction procedure (referred to as destination state screening) is formally exact and can be applied on top of the existing state space restriction techniques. As demonstrated below, in many cases this results in further reduction of matrix dimension, leading to considerable acceleration of many spin dynamics simulation types. Destination state screening is implemented in the latest version of the Spinach library (http://spindynamics.org).

摘要

我们提出了一种在时域里利用可检测性作为选择标准来降低李代数空间中自旋动力学模拟的新方法,即只保留那些会演化到或影响到其他可检测状态的状态。这种基态约简过程(称为目标态筛选)是完全精确的,并且可以在现有的状态空间约简技术之上进行应用。下面的例子展示了,在很多情况下,这种方法会进一步降低矩阵维度,从而显著加速许多类型的自旋动力学模拟。目标态筛选已被集成到最新版的 Spinach 库(http://spindynamics.org)中。

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