Cooperation and dependencies in multipartite systems
We propose an information-theoretic quantifier for the advantage gained from cooperation that captures the degree of dependency between subsystems of a global system. The quantifier is distinct from measures of multipartite correlations despite sharing many properties with them. It is directly compu...
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sg-ntu-dr.10356-1538762023-02-28T20:05:31Z Cooperation and dependencies in multipartite systems Klobus, Waldemar Miller, Marek Pandit, Mahasweta Ganardi, Ray Knips, Lukas Dziewior, Jan Meinecke, Jasmin Weinfurter, Harald Laskowski, Wieslaw Paterek, Tomasz School of Physical and Mathematical Sciences MajuLab Science::Mathematics Quantum Information Multipartite Entanglement We propose an information-theoretic quantifier for the advantage gained from cooperation that captures the degree of dependency between subsystems of a global system. The quantifier is distinct from measures of multipartite correlations despite sharing many properties with them. It is directly computable for classical as well as quantum systems and reduces to comparing the respective conditional mutual information between any two subsystems. Exemplarily we show the benefits of using the new quantifier for symmetric quantum secret sharing. We also prove an inequality characterizing the lack of monotonicity of conditional mutual information under local operations and provide intuitive understanding for it. This underlines the distinction between the multipartite dependence measure introduced here and multipartite correlations. Ministry of Education (MOE) Published version The work is supported by DFG (Germany) and NCN (Poland) within the joint funding initiative ‘Beethoven2’ (2016/23/G/ST2/04273, 381445721), by the Singapore Ministry of Education Academic Research Fund Tier 2 Project No. MOE2015-T2-2-034, and by Polish National Agency for Academic Exchange NAWA Project No. PPN/PPO/2018/1/00007/U/00001. WL and RG acknowledge partial support by the Foundation for Polish Science (IRAP project, ICTQT, Contract No. 2018/MAB/5, cofinanced by EU via Smart Growth Operational Programme). JD and LK acknowledge support from the PhD programs IMPRS-QST and ExQM, respectively. JDMA is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy-EXC-2111-390814868. 2022-06-03T02:39:20Z 2022-06-03T02:39:20Z 2021 Journal Article Klobus, W., Miller, M., Pandit, M., Ganardi, R., Knips, L., Dziewior, J., Meinecke, J., Weinfurter, H., Laskowski, W. & Paterek, T. (2021). Cooperation and dependencies in multipartite systems. New Journal of Physics, 23(6), 063057-. https://dx.doi.org/10.1088/1367-2630/abfb89 1367-2630 https://hdl.handle.net/10356/153876 10.1088/1367-2630/abfb89 2-s2.0-85109151278 6 23 063057 en MOE 2015-T2-2-034 New Journal of Physics © 2021 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. application/pdf |
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Science::Mathematics Quantum Information Multipartite Entanglement Klobus, Waldemar Miller, Marek Pandit, Mahasweta Ganardi, Ray Knips, Lukas Dziewior, Jan Meinecke, Jasmin Weinfurter, Harald Laskowski, Wieslaw Paterek, Tomasz Cooperation and dependencies in multipartite systems |
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We propose an information-theoretic quantifier for the advantage gained from cooperation that captures the degree of dependency between subsystems of a global system. The quantifier is distinct from measures of multipartite correlations despite sharing many properties with them. It is directly computable for classical as well as quantum systems and reduces to comparing the respective conditional mutual information between any two subsystems. Exemplarily we show the benefits of using the new quantifier for symmetric quantum secret sharing. We also prove an inequality characterizing the lack of monotonicity of conditional mutual information under local operations and provide intuitive understanding for it. This underlines the distinction between the multipartite dependence measure introduced here and multipartite correlations. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Klobus, Waldemar Miller, Marek Pandit, Mahasweta Ganardi, Ray Knips, Lukas Dziewior, Jan Meinecke, Jasmin Weinfurter, Harald Laskowski, Wieslaw Paterek, Tomasz |
format |
Article |
author |
Klobus, Waldemar Miller, Marek Pandit, Mahasweta Ganardi, Ray Knips, Lukas Dziewior, Jan Meinecke, Jasmin Weinfurter, Harald Laskowski, Wieslaw Paterek, Tomasz |
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Klobus, Waldemar |
title |
Cooperation and dependencies in multipartite systems |
title_short |
Cooperation and dependencies in multipartite systems |
title_full |
Cooperation and dependencies in multipartite systems |
title_fullStr |
Cooperation and dependencies in multipartite systems |
title_full_unstemmed |
Cooperation and dependencies in multipartite systems |
title_sort |
cooperation and dependencies in multipartite systems |
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2022 |
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https://hdl.handle.net/10356/153876 |
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