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Quantifying, characterizing, and controlling information flow in ultracold atomic gases
Open accessAbstract
We study quantum information flow in a model comprised of a trapped impurity qubit immersed in a Bose-Einstein-condensed reservoir. We demonstrate how information flux between the qubit and the condensate can be manipulated by engineering the ultracold reservoir within experimentally realistic limits. We show that this system undergoes a transition from Markovian to non-Markovian dynamics, which can be controlled by changing key parameters such as the condensate scattering length. In this way, one can realize a quantum simulator of both Markovian and non-Markovian open quantum systems, the latter ones being characterized by a reverse flow of information from the background gas (reservoir) to the impurity (system).
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“Quite recently, two experiments determining this quantity have been carried out employing photons moving in optical fibers or birefringent materials [44, 45].”
From Foundations and measures of quantum non-Markovianity (2012) · cites this paper as [45]
In the citing paper
“It has been demonstrated that a complete determination of the measure is experimentally possible, including the realization of the maximization over initial states in the definition (76).”
From Foundations and measures of quantum non-Markovianity (2012) · cites this paper as [45]
In the citing paper
“Both the quantum measure for non-Markovianity and the witness for initial systemenvironment correlations studied here have been demonstrated very recently to be experimentally measurable quantities [44, 45, 48, 49].”
From Foundations and measures of quantum non-Markovianity (2012) · cites this paper as [45]
In the citing paper
“In these experiments the open system is provided by the polarization degrees of freedom of the photons, while the environment is given by their frequency (mode) degrees of freedom.”
From Foundations and measures of quantum non-Markovianity (2012) · cites this paper as [45]
In the citing paper
“It was shown further that a careful preparation of the initial environmental state allows to control the information flow between the system and its environment and to observe the transition from the Markovian to the non-Markovian regime through quantum state tomography carried out on the open system.”
From Foundations and measures of quantum non-Markovianity (2012) · cites this paper as [45]
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Citations
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Self-citation
Metadata
- Authors
- Haikka, P., McEndoo, S., De Chiara, G., Palma, G. M., & Maniscalco, S.
- Affiliations
- University of Turku (FI)
- University of Palermo (IT)
- Venue
- Physical Review A
- Publisher
- American Physical Society (APS)
- Published
- 2011-09-20
- Volume
- 84
- Issue
- 3
- ISSN
- 0556-2791 (ISSN-L)
- 1050-2947
- 1094-1622
- OpenAlex
- W1998640974
- Cited by
- 141
- References
- 36
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 11 · 2023: 6 · 2022: 5 · 2021: 8 · 2020: 8 · 2019: 8 · 2018: 8 · 2017: 16 · 2016: 9 · 2015: 12 · 2014: 17 · 2013: 15 · 2012: 6
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physical Review A (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
- Research Portal (Queen's University Belfast) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Generalitat de Catalunya (00343)
- Suomen Kulttuurirahasto
- Emil Aaltosen Säätiö
- Ministerio de Ciencia e Innovación
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- quantum information flow, ultracold atoms, Bose-Einstein condensate, non-Markovian dynamics, Markovian dynamics, open quantum systems, quantum simulation, information backflow
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