The Experts below are selected from a list of 6430128 Experts worldwide ranked by ideXlab platform
Jerome Esteve - One of the best experts on this subject based on the ideXlab platform.
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cavity quantum electrodynamics with charge controlled quantum dots coupled to a fiber fabry perot cavity
New Journal of Physics, 2013Co-Authors: J Miguelsanchez, Andreas Reinhard, Emre Togan, Thomas Volz, A Imamoglu, Benjamin Besga, Jakob Reichel, Jerome EsteveAbstract:We demonstrate non-perturbative coupling between a single self-assembled InGaAs quantum dot and an external fiber-mirror-based microcavity. Our results extend the previous realizations of tunable microcavities while ensuring spatial and spectral overlap between the cavity mode and the emitter by simultaneously allowing for deterministic charge control of the quantum dots. Using resonant spectroscopy, we show that the coupled quantum dot cavity system is at the onset of strong coupling, with a cooperativity parameter of C ≈ 2.0 ± 1.3. Our results constitute a milestone in the progress toward the realization of a high-efficiency solid-state spin–photon interface.
J Miguelsanchez - One of the best experts on this subject based on the ideXlab platform.
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cavity quantum electrodynamics with charge controlled quantum dots coupled to a fiber fabry perot cavity
New Journal of Physics, 2013Co-Authors: J Miguelsanchez, Andreas Reinhard, Emre Togan, Thomas Volz, A Imamoglu, Benjamin Besga, Jakob Reichel, Jerome EsteveAbstract:We demonstrate non-perturbative coupling between a single self-assembled InGaAs quantum dot and an external fiber-mirror-based microcavity. Our results extend the previous realizations of tunable microcavities while ensuring spatial and spectral overlap between the cavity mode and the emitter by simultaneously allowing for deterministic charge control of the quantum dots. Using resonant spectroscopy, we show that the coupled quantum dot cavity system is at the onset of strong coupling, with a cooperativity parameter of C ≈ 2.0 ± 1.3. Our results constitute a milestone in the progress toward the realization of a high-efficiency solid-state spin–photon interface.
Alexander Von Renteln - One of the best experts on this subject based on the ideXlab platform.
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the artificial hormone system an organic middleware for self organising real time task allocation
Organic Computing, 2011Co-Authors: Alexander Von Renteln, Uwe Brinkschulte, Mathias PacherAbstract:This article presents an artificial hormone system for a completely decentralised realisation of self-organising task allocation. We show tight upper bounds for the real-time behaviour of self-configuration and self-healing. We also present stability criteria and a AHS implementation coded in pure ANSI C together with some real-world scenario test series and results.
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an artificial hormone system for self organizing real time task allocation in organic middleware
Organic Computing, 2009Co-Authors: Uwe Brinkschulte, Mathias Pacher, Alexander Von RentelnAbstract:This article presents an artificial hormone system for a completely decentralized realization of self-organizing task allocation. We show that tight upper bounds for the real-time behavior of self-configuration, self-optimization and self-healing can be given. We also calculate the communication load produced by the hormone system and find it acceptable.
Joel Willoughby - One of the best experts on this subject based on the ideXlab platform.
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optimal decomposition and recombination of isostatic geometric constraint systems for designing layered materials
Computer Aided Geometric Design, 2015Co-Authors: Troy Baker, Meera Sitharam, Menghan Wang, Joel WilloughbyAbstract:Abstract Optimal recursive decomposition (or DR-planning) is crucial for analyzing, designing, solving or finding realizations of geometric constraint systems. While the optimal DR-planning problem is NP-hard even for (general) 2D bar–joint constraint systems, we describe an O ( n 3 ) algorithm for a broad class of constraint systems that are isostatic or underconstrained. The algorithm achieves optimality by using the new notion of a canonical DR-plan that also meets various desirable, previously studied criteria. In addition, we leverage recent results on Cayley configuration spaces to show that the indecomposable systems – that are solved at the nodes of the optimal DR-plan by recombining solutions to child systems – can be minimally modified to become decomposable and have a small DR-plan, leading to efficient realization algorithms. We show formal connections to well-known problems such as completion of underconstrained systems. Well suited to these methods are classes of constraint systems that can be used to efficiently model, design and analyze quasi-uniform (aperiodic) and self-similar, layered material structures. We formally illustrate by modeling silica bilayers as body–hyperpin systems and cross-linking microfibrils as pinned line-incidence systems. A software implementation of our algorithms and videos demonstrating the software are publicly available online (visit http://cise.ufl.edu/~tbaker/drp/index.html ).
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optimal decomposition and recombination of isostatic geometric constraint systems for designing layered materials
arXiv: Computational Geometry, 2015Co-Authors: Troy Baker, Meera Sitharam, Menghan Wang, Joel WilloughbyAbstract:Optimal recursive decomposition (or DR-planning) is crucial for analyzing, designing, solving or finding realizations of geometric constraint sytems. While the optimal DR-planning problem is NP-hard even for general 2D bar-joint constraint systems, we describe an O(n^3) algorithm for a broad class of constraint systems that are isostatic or underconstrained. The algorithm achieves optimality by using the new notion of a canonical DR-plan that also meets various desirable, previously studied criteria. In addition, we leverage recent results on Cayley configuration spaces to show that the indecomposable systems---that are solved at the nodes of the optimal DR-plan by recombining solutions to child systems---can be minimally modified to become decomposable and have a small DR-plan, leading to efficient realization algorithms. We show formal connections to well-known problems such as completion of underconstrained systems. Well suited to these methods are classes of constraint systems that can be used to efficiently model, design and analyze quasi-uniform (aperiodic) and self-similar, layered material structures. We formally illustrate by modeling silica bilayers as body-hyperpin systems and cross-linking microfibrils as pinned line-incidence systems. A software implementation of our algorithms and videos demonstrating the software are publicly available online (visit this http URL)
Mathias Pacher - One of the best experts on this subject based on the ideXlab platform.
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the artificial hormone system an organic middleware for self organising real time task allocation
Organic Computing, 2011Co-Authors: Alexander Von Renteln, Uwe Brinkschulte, Mathias PacherAbstract:This article presents an artificial hormone system for a completely decentralised realisation of self-organising task allocation. We show tight upper bounds for the real-time behaviour of self-configuration and self-healing. We also present stability criteria and a AHS implementation coded in pure ANSI C together with some real-world scenario test series and results.
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an artificial hormone system for self organizing real time task allocation in organic middleware
Organic Computing, 2009Co-Authors: Uwe Brinkschulte, Mathias Pacher, Alexander Von RentelnAbstract:This article presents an artificial hormone system for a completely decentralized realization of self-organizing task allocation. We show that tight upper bounds for the real-time behavior of self-configuration, self-optimization and self-healing can be given. We also calculate the communication load produced by the hormone system and find it acceptable.
