Degree of entanglement in Entangled Hidden Markov Models

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Luigi Accardi , Abdessatar Souissi , El Gheteb Soueidi , Mohamed Rhaima
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引用次数: 0

Abstract

This paper investigates Entangled Hidden Markov Models (EHMMs), with a particular focus on how entanglement influences quantum dynamics. We present a structure theorem for inhomogeneous EHMMs, which provides a foundational understanding of their behavior in complex systems. Furthermore, we compute the Ohya degree of entanglement for models with deterministic stochastic matrices, offering a precise and rigorous way to quantify entanglement in these systems. By applying diagonal restrictions to the observation and hidden algebras, we also demonstrate how classical hidden Markov models (HMMs) naturally arise as a special case of EHMMs. This connection sheds light on the interplay between classical and quantum Markovian processes, bridging the gap between these two frameworks and deepening our understanding of their shared and distinct properties.
纠缠隐马尔可夫模型中的纠缠度
本文研究了纠缠隐马尔可夫模型,特别关注纠缠如何影响量子动力学。本文提出了非齐次ehmm的结构定理,为理解其在复杂系统中的行为提供了基础。此外,我们计算了具有确定性随机矩阵的模型的Ohya纠缠度,为量化这些系统中的纠缠提供了一种精确而严格的方法。通过对观测代数和隐代数应用对角限制,我们还演示了经典隐马尔可夫模型(hmm)是如何作为隐马尔可夫模型的特殊情况自然产生的。这种联系揭示了经典和量子马尔可夫过程之间的相互作用,弥合了这两个框架之间的差距,加深了我们对它们共同和独特性质的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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