Open dynamics of entanglement in mesoscopic bosonic systems

A key issue in Quantum Information is finding an adequate description of mesoscopic systems that is simpler than full quantum formalism yet retains crucial information about non-classical phenomena like entanglement. In particular, the study of fully bosonic systems undergoing open evolution is of g...

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Bibliographic Details
Published inarXiv.org
Main Authors Schlichtholz, Konrad, Rudnicki, Łukasz
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 19.04.2024
Subjects
Beam splitters
Damping
Evolution
Formalism
Low temperature
Quantum computing
Quantum entanglement
Quantum phenomena
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Summary:A key issue in Quantum Information is finding an adequate description of mesoscopic systems that is simpler than full quantum formalism yet retains crucial information about non-classical phenomena like entanglement. In particular, the study of fully bosonic systems undergoing open evolution is of great importance for the advancement of photonic quantum computing and communication. In this paper, we propose a mesoscopic description of such systems based on boson number correlations. This description allows for tracking Markovian open evolution of entanglement of both non-Gaussian and Gaussian states and their sub-Poissonian statistics. It can be viewed as a generalization of the reduced state of the field formalism [Entropy 2019, 21(7), 705], which by itself does not contain information about entanglement. As our approach adopts the structure of the description of two particles in terms of first quantization, it allows for broad intuitive usage of known tools. Using the proposed formalism, we show the robustness of entanglement against low-temperature damping for four-mode bright squeezed vacuum state and beam-splitted single photon. We also present a generalization of the Mandel Q parameter. Building upon this, we show that the entanglement of the state obtained by beam splitting of a single occupied mode is fully inherited from sub-Poissonian statistics of the input state.
ISSN:2331-8422