Engineering transport via collisional noise : a toolbox for biology systems

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Civolani, Alessandro and Stanzione, Vittoria and Chiofalo, Maria Luisa and Malo, Jorge Yago (2023) Engineering transport via collisional noise : a toolbox for biology systems. Other. arXiv, Ithaca, NY. (https://doi.org/10.48550/arXiv.2311.08924)

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Abstract

The study of noise assisted transport in quantum systems is essential in a wide range of applications from near-term NISQ devices to models for quantum biology. Here, we study a generalised XXZ model in the presence of stochastic collision noise, which allows to describe environments beyond the standard Markovian formulation. Our analysis through the study of the local magnetization, the inverse participation ratio (IPR) or its generalisation, the Inverse Ergodicity Ratio (IER), showed clear regimes where the transport rate and coherence time can be controlled by the dissipation in a consistent manner. In addition, when considering several excitations, we characterize the interplay between collisions and system interactions identifying regimes in which transport is counterintuitively enhanced when increasing the collision rate, even in the case of initially separated excitations. These results constitute an example of the essential building blocks for the understanding of quantum transport in structured noisy and warm disordered environments.

ORCID iDs

Civolani, Alessandro ORCID logoORCID: https://orcid.org/0009-0001-4107-2022, Stanzione, Vittoria, Chiofalo, Maria Luisa and Malo, Jorge Yago ORCID logoORCID: https://orcid.org/0000-0001-5588-9183;
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