2019
DOI: 10.1088/1367-2630/ab1c79
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Two-particle quantum correlations in stochastically-coupled networks

Abstract: Quantum walks in dynamically-disordered networks have become an invaluable tool for understanding the physics of open quantum systems. Although much work has been carried out considering networks affected by diagonal disorder, it is of fundamental importance to study the effects of fluctuating couplings. This is particularly relevant in materials science models, where the interaction forces may change depending on the species of the atoms being linked. In this work, we make use of stochastic calculus to derive… Show more

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Cited by 4 publications
(4 citation statements)
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“…The Novikov-Furutsu theorem has been used extensively in the literature for the study of systems with noise of short correlation time [91][92][93], and equations equivalent to those derived in Sec. IV have been obtained to second order in perturbative noise strength [94-96, 128, 129].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
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“…The Novikov-Furutsu theorem has been used extensively in the literature for the study of systems with noise of short correlation time [91][92][93], and equations equivalent to those derived in Sec. IV have been obtained to second order in perturbative noise strength [94-96, 128, 129].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…That property enables us to tap into the vast literature employing the Novikov-Furutsu theorem in the context of noise with finite correlation time (see, e.g., Refs. [91,[94][95][96]).…”
Section: Dissipative Ensemble Dynamicsmentioning
confidence: 99%
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“…Looking forward, and following the ideas of Refs. [35,58], it would be interesting to go beyond the single excitation regime and derive the corresponding master equation of, for example, two correlated particles propagating over these stochastic networks affected by non-Markovian noise. The time derivative of the density matrix σ nm (t) ≡ ψ n ψ * m is given as…”
Section: Discussionmentioning
confidence: 99%