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A blind quantum source separation method based on mutual information for retrieving two qubits with cylindrical-symmetry heisenberg coupling

机译:基于互信息的圆柱对称海森堡耦合的两个量子比特的盲量子源分离方法

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This paper concerns the blind quantum source separation (BQSS) field, that we introduced previously. More specifically, we investigate how to retrieve individual quantum states, after they were coupled according to the cylindrical-symmetry Heisenberg model and converted into classical data by means of measurements. The statistical method that we propose to perform this separation consists in minimizing the cost function defined as the mutual information of the outputs of our separating system, which is tailored to the considered nonlinear coupling model. This method is especially attractive because its cost function has no global spurious points, i.e. it has a single global minimum value, obtained when source separation is achieved (thanks to the ICA separability of the considered nonlinear global model). In this paper, we address all major aspects of this approach, including the definition of the considered separation criterion and of an associated optimization algorithm, and the derivations of the expressions of all the quantities involved in this algorithm.
机译:本文涉及我们先前介绍的盲量子源分离(BQSS)领域。更具体地说,我们研究如何根据圆柱对称海森堡模型将各个量子态耦合并通过测量将其转换为经典数据后,如何检索单个量子态。我们建议进行这种分离的统计方法包括最小化成本函数,该成本函数被定义为分离系统输出的相互信息,该函数是针对所考虑的非线性耦合模型而定制的。该方法之所以特别具有吸引力,是因为其成本函数没有全局杂散点,即它只有一个全局最小值,这是在实现源分离时获得的(由于所考虑的非线性全局模型的ICA可分离性)。在本文中,我们讨论了该方法的所有主要方面,包括定义的分离标准和相关联的优化算法的定义,以及该算法涉及的所有数量的表达式的推导。

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