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Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility

We investigate a composite quantum collision model with measurements on the memory part, which effectively probe the system. The framework allows us to adjust the measurement strength, thereby tuning the dynamical map of the system. For a two-qubit setup with a symmetric and informationally complete...

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Detalles Bibliográficos
Autores principales: Beyer, Konstantin, Luoma, Kimmo, Lenz, Tim, Strunz, Walter T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142057/
https://www.ncbi.nlm.nih.gov/pubmed/35626598
http://dx.doi.org/10.3390/e24050715
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author Beyer, Konstantin
Luoma, Kimmo
Lenz, Tim
Strunz, Walter T.
author_facet Beyer, Konstantin
Luoma, Kimmo
Lenz, Tim
Strunz, Walter T.
author_sort Beyer, Konstantin
collection PubMed
description We investigate a composite quantum collision model with measurements on the memory part, which effectively probe the system. The framework allows us to adjust the measurement strength, thereby tuning the dynamical map of the system. For a two-qubit setup with a symmetric and informationally complete measurement on the memory, we study the divisibility of the resulting dynamics in dependence of the measurement strength. The measurements give rise to quantum trajectories of the system and we show that the average asymptotic purity depends on the specific form of the measurement. With the help of numerical simulations, we demonstrate that the different performance of the measurements is generic and holds for almost all interaction gates between the system and the memory in the composite collision model. The discrete model is then extended to a time-continuous limit.
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spelling pubmed-91420572022-05-28 Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility Beyer, Konstantin Luoma, Kimmo Lenz, Tim Strunz, Walter T. Entropy (Basel) Article We investigate a composite quantum collision model with measurements on the memory part, which effectively probe the system. The framework allows us to adjust the measurement strength, thereby tuning the dynamical map of the system. For a two-qubit setup with a symmetric and informationally complete measurement on the memory, we study the divisibility of the resulting dynamics in dependence of the measurement strength. The measurements give rise to quantum trajectories of the system and we show that the average asymptotic purity depends on the specific form of the measurement. With the help of numerical simulations, we demonstrate that the different performance of the measurements is generic and holds for almost all interaction gates between the system and the memory in the composite collision model. The discrete model is then extended to a time-continuous limit. MDPI 2022-05-17 /pmc/articles/PMC9142057/ /pubmed/35626598 http://dx.doi.org/10.3390/e24050715 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Beyer, Konstantin
Luoma, Kimmo
Lenz, Tim
Strunz, Walter T.
Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title_full Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title_fullStr Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title_full_unstemmed Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title_short Measured Composite Collision Models: Quantum Trajectory Purities and Channel Divisibility
title_sort measured composite collision models: quantum trajectory purities and channel divisibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142057/
https://www.ncbi.nlm.nih.gov/pubmed/35626598
http://dx.doi.org/10.3390/e24050715
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