Entropy (Dec 2023)

Engineering Transport via Collisional Noise: A Toolbox for Biology Systems

  • Alessandro Civolani,
  • Vittoria Stanzione,
  • Maria Luisa Chiofalo,
  • Jorge Yago Malo

DOI
https://doi.org/10.3390/e26010020
Journal volume & issue
Vol. 26, no. 1
p. 20

Abstract

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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 generalized XXZ model in the presence of stochastic collision noise, which allows describing environments beyond the standard Markovian formulation. Our analysis through the study of the local magnetization, the inverse participation ratio (IPR) or its generalization, and the inverse ergodicity ratio (IER) showed clear regimes, where the transport rate and coherence time could be controlled by the dissipation in a consistent manner. In addition, when considering various excitations, we characterized the interplay between collisions and system interactions, identifying regimes in which transport was counterintuitively enhanced when increasing the collision rate, even in the case of initially separated excitations. These results constitute an example of an essential building block for the understanding of quantum transport in structured noisy and warm-disordered environments.

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