Engineering transport via collisional noise: a toolbox for biology systems

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

doi:10.48550/arXiv.2311.08924

Engineering transport via collisional noise: a toolbox for biology systems

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

^*Corresponding author for this work

Physics

Research output: Working paper › Working Paper/Preprint

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.

Original language	English
Place of Publication	Ithaca, NY
Number of pages	18
DOIs	https://doi.org/10.48550/arXiv.2311.08924
Publication status	Published - 15 Nov 2023

Funding

V.S was supported by the project PNRR - HPC, Big Data and Quantum Computing – CN1 Spoke 10, CUP I53C22000690001. J.Y.M. was supported by the European Social Fund REACT EU through the Italian national program PON 2014-2020, DM MUR 1062/2021. M.L.C. acknowledges support from the MIT-UNIPI program and by the National Quantum Science and Technology Institute (NQSTI), spokes 2 and 10, funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3 - Call for tender No. 341 of 15/03/2022 of Italian Ministry of University and Research, funded by the European Union NextGenerationEU, award number PE0000023, Concession Decree No. 1564 of 11/10/2022 adopted by the Italian Ministry of University and Research, CUP D93C22000940001 and from the Spoke 10-HPC, Big Data and Quantum Computing - CN00000013 - CUP I53C22000690001.

Keywords

collision noise
quantum transport
quantum biology
quantum systems

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10.48550/arXiv.2311.08924Licence: CC BY 4.0

Civolani-etal-arXiv-2023-Engineering-transport-via-collisional-noiseFinal published version, 1.82 MBLicence: CC BY 4.0

Cite this

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Engineering transport via collisional noise: a toolbox for biology systems

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