Thermodynamic cost of creating correlations M Huber, M Perarnau-Llobet, KV Hovhannisyan, P Skrzypczyk, C Klöckl, ... New Journal of Physics 17 (6), 065008, 2015 | 78 | 2015 |
Measurements in two bases are sufficient for certifying high-dimensional entanglement J Bavaresco, NH Valencia, C Klöckl, M Pivoluska, P Erker, N Friis, M Malik, ... Nature Physics, 1, 2018 | 77 | 2018 |
Determining lower bounds on a measure of multipartite entanglement from few local observables JY Wu, H Kampermann, D Bruß, C Klöckl, M Huber Physical Review A 86 (2), 022319, 2012 | 51 | 2012 |
Characterizing multipartite entanglement without shared reference frames C Klöckl, M Huber Physical Review A 91 (4), 042339, 2015 | 41 | 2015 |
A new perspective on global renewable energy systems: why trade in energy carriers matters J Schmidt, K Gruber, M Klingler, C Klöckl, LR Camargo, P Regner, ... Energy & Environmental Science 12 (7), 2022-2029, 2019 | 25 | 2019 |
Heisenberg-Weyl Observables: Bloch vectors in phase space A Asadian, P Erker, M Huber, C Klöckl Physical Review A 94 (1), 010301, 2016 | 24 | 2016 |
Trade-off between work and correlations in quantum thermodynamics G Vitagliano, C Klöckl, M Huber, N Friis Thermodynamics in the Quantum Regime, 731-750, 2018 | 17 | 2018 |
Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil K Gruber, C Klöckl, P Regner, J Baumgartner, J Schmidt Energy 189, 116212, 2019 | 6 | 2019 |
Monogamy of correlations and entropy inequalities in the Bloch picture P Appel, M Huber, C Klöckl Journal of Physics Communications 4 (2), 025009, 2020 | 3 | 2020 |
The perils of automated fitting of datasets: the case of a wind turbine cost model C Klöckl, K Gruber, P Regner, S Wehrle, J Schmidt arXiv preprint arXiv:1905.08870, 2019 | 1 | 2019 |
Correlations in the generalized bloch picture & applications in entanglement detection and quantum thermodynamics C Klöckl Universitat Autònoma de Barcelona,, 2016 | 1 | 2016 |
The role of spatial resolution of climate data for the quality of simulated wind power generation-A multi-country analysis K Gruber, J Baumgartner, C Klöckl, P Regner, J Schmidt EGU General Assembly Conference Abstracts, 9961, 2020 | | 2020 |
Dimensionally sharp inequalities for the linear entropy S Morelli, C Klöckl, C Eltschka, J Siewert, M Huber Linear Algebra and its Applications 584, 294-325, 2020 | | 2020 |
Quantifying High-Dimensional Entanglement with only Two Measurement Settings M Malik, J Bavaresco, NH Valencia, C Klöckl, P Erker, M Pivoluska, N Friis, ... Quantum Information and Measurement, T3B. 2, 2019 | | 2019 |
Applying the DTU Global Wind Atlas for bias correction of simulated nationally aggregated wind power generation time series for Austria and Brazil. K Gruber, J Baumgartner, C Klöckl, J Schmidt Geophysical Research Abstracts 21, 2019 | | 2019 |
Non-linear genuine multiparty entanglement witness and its application to graph states J Wu, H Kampermann, D Bruss, C Klockl, M Huber Verhandlungen der Deutschen Physikalischen Gesellschaft, 2013 | | 2013 |
The density matrix renormalization group on tensor networks C Klöckl uniwien, 2013 | | 2013 |