Quantum fluctuation dynamics of open quantum systems with collective operator-valued rates, and applications to Hopfield-like networks

IF 2 3区 物理与天体物理 Q2 PHYSICS, MATHEMATICAL Journal of Physics A: Mathematical and Theoretical Pub Date : 2024-07-24 DOI:10.1088/1751-8121/ad6363
Eliana Fiorelli
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Abstract

We consider a class of open quantum many-body systems that evolves in a Markovian fashion, the dynamical generator being in GKS-Lindblad form. Here, the Hamiltonian contribution is characterized by an all-to-all coupling, and the dissipation features local transitions that depend on collective, operator-valued rates, encoding average properties of the system. These types of generators can be formally obtained by generalizing, to the quantum realm, classical (mean-field) stochastic Markov dynamics, with state-dependent transitions. Focusing on the dynamics emerging in the limit of infinitely large systems, we build on the exactness of the mean-field equations for the dynamics of average operators. In this framework, we derive the dynamics of quantum fluctuation operators, that can be used in turn to understand the fate of quantum correlations in the system. We then apply our results to quantum generalized Hopfield associative memories. Here we show that, asymptotically and at the description level of quantum fluctuations, only a very weak amount of quantum correlations, in the form of quantum discord, emerges beyond classical correlations.
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具有集体算子值速率的开放量子系统的量子波动动力学及其在类霍普菲尔德网络中的应用
我们考虑了一类以马尔可夫方式演化的开放量子多体系统,其动力学发生器为 GKS-Lindblad 形式。在这里,哈密顿贡献的特点是全对全耦合,耗散的特点是局部转变,取决于集体的、算子值的速率,编码系统的平均特性。这些类型的发生器可以通过将经典(均场)随机马尔可夫动力学推广到量子领域而正式获得,并具有与状态相关的转换。我们将重点放在无限大系统极限中出现的动力学上,以平均算子动力学的均值场方程的精确性为基础。在此框架下,我们推导出了量子波动算子的动力学,并可反过来用于理解系统中量子相关性的命运。然后,我们将结果应用于量子广义 Hopfield 关联记忆。我们在这里证明,在量子波动的描述层面上,只有非常微弱的量子相关性(以量子不和的形式)会出现在经典相关性之外。
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来源期刊
CiteScore
4.10
自引率
14.30%
发文量
542
审稿时长
1.9 months
期刊介绍: Publishing 50 issues a year, Journal of Physics A: Mathematical and Theoretical is a major journal of theoretical physics reporting research on the mathematical structures that describe fundamental processes of the physical world and on the analytical, computational and numerical methods for exploring these structures.
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