Engineering transport via collisional noise: a toolbox for biology systems

Alessandro Civolani; Vittoria Stanzione; Maria Luisa Chiofalo; Jorge Yago Malo

doi:10.3390/e26010020

Engineering transport via collisional noise: a toolbox for biology systems

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

Physics

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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 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.

Original language	English
Article number	20
Journal	Entropy
Volume	26
Issue number	1
DOIs	https://doi.org/10.3390/e26010020
Publication status	Published - 24 Dec 2023

Funding

V.S. and M.L.C. acknowledge support from the National Centre on HPC, Big Data and Quantum Computing- SPOKE 10 (Quantum Computing) and received funding from the European Union Next-GenerationEU- National Recovery and Resilience Plan (NRRP)– MISSION 4 COMPONENT2,INVESTMENTN.1.4–CUPN.I53C22000690001. M.L.C. acknowledge support from the project PRA_2022_2023_98 "IMAGINATION" and acknowledges support from the MIT-UNIPI program. J.Y.M. was supported by the European Social Fund REACT EU through the Italian national program PON2014-2020, DM MUR1062/2021. This research was supported in part by grants NSF PHY-1748958 and PHY-2309135 to the Kavli Institute for Theoretical Physics (KITP).

Keywords

open quantum systems
stochastic collision models
quantum transport in noisy media
quantum biology
quantum spin models

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Cite this

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Engineering transport via collisional noise: a toolbox for biology systems

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