时变耦合盲量子源分离的解析性能分析

Y. Deville, A. Deville, Simon Rebeyrol, A. Mansour
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引用次数: 1

摘要

经典的盲源分离(BSS)方法,即非量子盲源分离(BSS)方法,只使用由这些源信号通过混合变换传输得到的混合信号来估计未知源信号,这些信号通常具有未知的参数值。我们开发了量子版本的BSS,其中混合参数值几乎总是随时间保持固定。我们在这里表明,快速变化的混合处理起来要复杂得多,因为未知的量子态不能被克隆,即复制。由于基于主从结构的特定分离系统,我们避免了这个问题。我们对该结构的性能进行了原始的分析分析,这取决于其主反转块和从反转块之间的不匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical performance analysis for blind quantum source separation with time-varying coupling
Classical, i.e. non-quantum, blind source separation (BSS) methods estimate unknown source signals by using only mixed signals obtained by transferring these source signals through a mixing transform, which typically has unknown parameter values. We developed quantum versions of BSS, in which the mixing parameter values almost always remained fixed over time. We here show that rapidly varying mixing is much more complex to handle, because unknown quantum states cannot be cloned, i.e. copied. We avoid this issue thanks to a specific separating system based on a master-slave structure. We provide an original analytical analysis of the performance of that structure, depending on the mismatch between its master and slave inverting blocks.
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