Spectral densities encode the relevant information characterizing the system-environment interaction in an open-quantum system problem. Such information is key to determining the system’s dynamics. In this work, we leverage the potential of machine learning techniques to reconstruct the features of the environment. Specifically, we show that the time evolution of a system observable can be used by an artificial neural network to infer the main features of the spectral density. In particular, for relevant examples of spin-boson models, we can classify with high accuracy the Ohmicity parameter of the environment as either Ohmic, sub-Ohmic or super-Ohmic, thereby distinguishing between different forms of dissipation.

Spectral density classification for environment spectroscopy / J. Barr, G. Zicari, A. Ferraro, M. Paternostro. - In: MACHINE LEARNING: SCIENCE AND TECHNOLOGY. - ISSN 2632-2153. - 5:1(2024), pp. 015043.1-015043.18. [10.1088/2632-2153/ad2cf1]

Spectral density classification for environment spectroscopy

A. Ferraro
Penultimo
;
2024

Abstract

Spectral densities encode the relevant information characterizing the system-environment interaction in an open-quantum system problem. Such information is key to determining the system’s dynamics. In this work, we leverage the potential of machine learning techniques to reconstruct the features of the environment. Specifically, we show that the time evolution of a system observable can be used by an artificial neural network to infer the main features of the spectral density. In particular, for relevant examples of spin-boson models, we can classify with high accuracy the Ohmicity parameter of the environment as either Ohmic, sub-Ohmic or super-Ohmic, thereby distinguishing between different forms of dissipation.
neural network; Ohmic; open quantum system; spectral density; spin-boson; sub-Ohmic; super-Ohmic;
Settore FIS/03 - Fisica della Materia
   Testing the Large-Scale Limit of Quantum Mechanics
   TEQ
   European Commission
   Horizon 2020 Framework Programme
   766900

   Quantum Control of Gravity with Levitated Mechanics
   QuCoM
   European Commission
   Horizon Europe Framework Programme
   101046973
2024
8-mar-2024
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1089288
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