claude klöckl
claude klöckl
Post-Doc, University of Natural Resources and Life Sciences, Vienna
Verified email at
Cited by
Cited by
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
Thermodynamic cost of creating correlations
M Huber, M Perarnau-Llobet, KV Hovhannisyan, P Skrzypczyk, C Klöckl, ...
New Journal of Physics 17 (6), 065008, 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
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
Characterizing multipartite entanglement without shared reference frames
C Klöckl, M Huber
Physical Review A 91 (4), 042339, 2015
Heisenberg-Weyl Observables: Bloch vectors in phase space
A Asadian, P Erker, M Huber, C Klöckl
Physical Review A 94 (1), 010301, 2016
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
Trade-off between work and correlations in quantum thermodynamics
G Vitagliano, C Klöckl, M Huber, N Friis
Thermodynamics in the Quantum Regime: Fundamental Aspects and New Directions …, 2018
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
Improvements to Modern Portfolio Theory based models applied to electricity systems
GM Castro, C Klöckl, P Regner, J Schmidt, AO Pereira Jr
Energy Economics 111, 106047, 2022
Thermodynamics in the Quantum Regime
G Vitagliano, C Klöckl, M Huber, N Friis
Springer, 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
Low cost, uncertain value: Why cheap PV may still not become UK’s main power source
C Klöckl, S Wehrle, J Schmidt
Patterns 4 (5), 2023
Computational performance of deep reinforcement learning to find nash equilibria
C Graf, V Zobernig, J Schmidt, C Klöckl
Computational Economics 63 (2), 529-576, 2024
Land-Use Requirements of Solar and Wind Power
O Turkovska, K Gruber, M Klingler, C Klöckl, LR Camargo, P Regner, ...
EarthArXiv, 2023
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
Examples and Counterexamples 2, 100059, 2022
RangL: A Reinforcement Learning Competition Platform
V Zobernig, RA Saldanha, J He, E van der Sar, J van Doorn, JC Hua, ...
arXiv preprint arXiv:2208.00003, 2022
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
Correlations in the generalized bloch picture & applications in entanglement detection and quantum thermodynamics
C Klöckl
Universitat Autònoma de Barcelona,, 2016
Computational Performance of Deep Reinforcement Learning to Find Nash Equilibria (Jan 2023, 10.1007/s10614-022-10351-6)
C Graf, V Zobernig, J Schmidt, C Kloeckl
COMPUTATIONAL ECONOMICS 63 (2), 577-577, 2024
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