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2020 – today
- 2024
[j14]Javier Argüello-Luengo
, Manfred J. Mark, Francesca Ferlaino, Maciej Lewenstein, Luca Barbiero, Sergi Julià-Farré:
Stabilization of Hubbard-Thouless pumps through nonlocal fermionic repulsion. Quantum 8: 1285 (2024)- [c2]Reiko Yamada, Antoine Reserbat-Plantey, Eloy Piñol, Maciej Lewenstein:
Sonification of Wigner Functions: Case Study of Intense Light-Matter Interactions. MCM 2024: 447-455 - 2023
- [j13]Guillem Müller-Rigat, Anubhav Kumar Srivastava, Stanislaw Kurdzialek, Grzegorz Rajchel-Mieldzioc, Maciej Lewenstein, Irénée Frérot:
Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach. Quantum 7: 1152 (2023) - [i10]Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein, Alexandre Dauphin, Gorka Muñoz-Gil:
Learning minimal representations of stochastic processes with variational autoencoders. CoRR abs/2307.11608 (2023) - [i9]Przemyslaw R. Grzybowski, Antoni Jankiewicz, Eloy Piñol, David Cirauqui, Dorota H. Grzybowska, Pawel M. Petrykowski, Miguel Ángel García-March, Maciej Lewenstein, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens:
Universal representation by Boltzmann machines with Regularised Axons. CoRR abs/2310.14395 (2023) - 2022
- [j12]Anna Dawid, Patrick Huembeli, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin:
Hessian-based toolbox for reliable and interpretable machine learning in physics. Mach. Learn. Sci. Technol. 3(1): 15002 (2022) - [j11]Maciej Lewenstein, Guillem Müller-Rigat, Jordi Tura, Anna Sanpera:
Linear Maps as Sufficient Criteria for Entanglement Depth and Compatibility in Many-Body Systems. Open Syst. Inf. Dyn. 29(3): 2250011:1-2250011:23 (2022) - [j10]Guillem Müller-Rigat, Maciej Lewenstein, Irénée Frérot:
Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities. Quantum 6: 887 (2022) - 2021
- [j9]Yuhan Liu, Wen-Jun Li, Xiao Zhang, Maciej Lewenstein, Gang Su, Shi-Ju Ran:
Entanglement-Based Feature Extraction by Tensor Network Machine Learning. Frontiers Appl. Math. Stat. 7: 716044 (2021) - [j8]Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski:
Efficient training of energy-based models via spin-glass control. Mach. Learn. Sci. Technol. 2(2): 25026 (2021) - [j7]Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg:
Unsupervised machine learning of topological phase transitions from experimental data. Mach. Learn. Sci. Technol. 2(3): 35037 (2021) - [i8]Gorka Muñoz-Gil, Guillem Guigó i Corominas, Maciej Lewenstein:
Unsupervised learning of anomalous diffusion data. CoRR abs/2108.03411 (2021) - 2020
- [j6]Christos Charalambous, Miguel Ángel García-March, Gorka Muñoz-Gil, Przemyslaw R. Grzybowski, Maciej Lewenstein:
Control of anomalous diffusion of a Bose polaron. Quantum 4: 232 (2020) - [c1]Przemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Ángel García-March, Maciej Lewenstein:
Understanding and improving unsupervised training of Boltzman machines. ESANN 2020: 273-278 - [i7]Zahra Baghali Khanian, Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Andreas J. Winter:
Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics. CoRR abs/2011.08020 (2020)
2010 – 2019
- 2019
- [i6]Gorka Muñoz-Gil, Miguel Ángel García-March, Carlo Manzo, José David Martín-Guerrero, Maciej Lewenstein:
Machine learning method for single trajectory characterization. CoRR abs/1903.02850 (2019) - [i5]Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein:
Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. CoRR abs/1907.10290 (2019) - [i4]Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski:
Efficient training of energy-based models via spin-glass control. CoRR abs/1910.01592 (2019) - 2018
- [i3]Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran:
Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition. CoRR abs/1803.09111 (2018) - 2016
- [i2]Swapan Rana, Preeti Parashar, Andreas J. Winter, Maciej Lewenstein:
Logarithmic Coherence: Operational interpretation of l1-norm Coherence. CoRR abs/1612.09234 (2016) - 2015
- [i1]Swapan Rana, Preeti Parashar, Maciej Lewenstein:
Trace distance measure of coherence. CoRR abs/1511.01854 (2015) - 2014
- [j5]M. F. Ciappina, José Antonio Pérez-Hernández, Maciej Lewenstein:
ClassSTRONG: Classical simulations of strong field processes. Comput. Phys. Commun. 185(1): 398-406 (2014) - 2012
- [j4]G. J. Lapeyre, Sébastien Perseguers, Maciej Lewenstein, Antonio Acín:
Distribution of entanglement in networks of bi-partite full-rank mixed states. Quantum Inf. Comput. 12(5-6): 502-534 (2012)
2000 – 2009
- 2009
- [j3]Remigiusz Augusiak, Maciej Lewenstein:
Towards measurable bounds on entanglement measures. Quantum Inf. Process. 8(6): 493-521 (2009) - 2004
- [j2]Florian Hulpke, Dagmar Bruß, Maciej Lewenstein, Anna Sanpera:
Simplifying schmidt number witnesses via higher-dimensional embeddings. Quantum Inf. Comput. 4(3): 207-221 (2004)
1990 – 1999
- 1994
- [j1]Michal Zochowski, Maciej Lewenstein, Andrzej Nowak:
Local Noise in Neural Networks Models with Self-Control. Int. J. Neural Syst. 5(4): 287-298 (1994)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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