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首页> 外文期刊>Journal of Modern Optics >Finding the Kraus decomposition from a master equation and vice versa
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Finding the Kraus decomposition from a master equation and vice versa

机译:从主方程中找到Kraus分解,反之亦然

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摘要

For any master equation which is local in time, whether Markovian, non-Markovian, of Lindblad form or not, a general procedure is given for constructing the corresponding linear map from the initial state to the state at time t, including its Kraus-type representations. Formally, this is equivalent to solving the master equation. For an N-dimensional Hilbert space it requires ( i) solving a first order N-2 x N-2 matrix time evolution ( to obtain the completely positive map), and ( ii) diagonalizing a related N-2 x N-2 matrix ( to obtain a Kraus-type representation). Conversely, for a given time-dependent linear map, a necessary and sufficient condition is given for the existence of a corresponding master equation, where the ( not necessarily unique) form of this equation is explicitly determined. It is shown that a ' best possible' master equation may always be defined, for approximating the evolution in the case that no exact master equation exists. Examples involving qubits are given.
机译:对于任何时间局部的主方程,无论是否为Lindblad形式的Markovian,非Markovian,都给出了从初始状态到时间t的状态(包括其Kraus型)构造相应线性映射的通用程序。表示形式。从形式上讲,这等效于求解主方程。对于N维希尔伯特空间,它需要(i)解一阶N-2 x N-2矩阵的时间演化(以获得完全正图),以及(ii)对角化相关的N-2 x N-2矩阵(以获得Kraus型表示形式)。相反,对于给定的与时间有关的线性映射,为存在相应的主方程式提供了必要和充分的条件,其中明确确定了该方程式的(不一定唯一)形式。结果表明,在没有确切的主方程式的情况下,总是可以定义一个“最佳可能”的主方程式,以近似演化。给出了涉及量子位的示例。

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