Tristochastic operations and products of quantum states

Rafał Bistroń, Wojciech Śmiałek, Karol Życzkowski
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Abstract

Abstract The notion of convolution of two probability vectors, corresponding to a coincidence experiment can be extended to a family of binary operations determined by (tri)stochastic tensors, to describe Markov chains of a higher order. The problem of associativity, commutativity, and the existence of neutral elements and inverses for such operations acting on classical states is analyzed. For a more general setup of multi-stochastic tensors, we present the characterization of their probability eigenvectors. Similar results are obtained for the quantum case: we analyze tristochastic channels, which induce binary operations defined in the space of quantum states. Studying coherifications of tristochastic tensors we propose a quantum analogue of the convolution of probability vectors defined for two arbitrary density matrices of the same size. Possible applications of this notion to construct schemes of error mitigation or building blocks in quantum convolutional neural networks are discussed.
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量子态的三随机运算和积
与一个巧合实验相对应的两个概率向量的卷积的概念可以推广到由(三)个随机张量决定的二进制运算族,以描述高阶的马尔可夫链。分析了作用于经典状态的此类运算的结合性、交换性以及中立元和逆的存在性问题。对于更一般的多随机张量,我们给出了它们的概率特征向量的表征。在量子情况下也得到了类似的结果:我们分析了在量子态空间中定义二元操作的三随机通道。研究三随机张量的相干性,提出了两个相同大小的任意密度矩阵的概率向量卷积的量子模拟。讨论了这一概念在量子卷积神经网络中构建错误缓解方案或构建块的可能应用。
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