Maciej Lewenstein

According to our database, Maciej Lewenstein authored at least 26 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stabilization of Hubbard-Thouless pumps through nonlocal fermionic repulsion.

Javier Argüello-Luengo, Manfred J. Mark, Francesca Ferlaino, Maciej Lewenstein, Luca Barbiero, Sergi Julià-Farré

Quantum, March, 2024

Sonification of Wigner Functions: Case Study of Intense Light-Matter Interactions.

Reiko Yamada, Antoine Reserbat-Plantey, Eloy Piñol, Maciej Lewenstein

Proceedings of the Mathematics and Computation in Music - 9th International Conference, 2024

2023

Certifying the quantum Fisher information from a given set of mean values: a semidefinite programming approach.

Guillem Müller-Rigat, Anubhav Kumar Srivastava, Stanislaw Kurdzialek, Grzegorz Rajchel-Mieldzioc, Maciej Lewenstein, Irénée Frérot

Quantum, October, 2023

Universal representation by Boltzmann machines with Regularised Axons.

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

CoRR, 2023

Learning minimal representations of stochastic processes with variational autoencoders.

Gabriel Fernández-Fernández, Carlo Manzo, Maciej Lewenstein, Alexandre Dauphin, Gorka Muñoz-Gil

CoRR, 2023

2022

Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities.

Guillem Müller-Rigat, Maciej Lewenstein, Irénée Frérot

Quantum, September, 2022

Linear Maps as Sufficient Criteria for Entanglement Depth and Compatibility in Many-Body Systems.

Maciej Lewenstein, Guillem Müller-Rigat, Jordi Tura, Anna Sanpera

Open Syst. Inf. Dyn., September, 2022

Hessian-based toolbox for reliable and interpretable machine learning in physics.

Anna Dawid, Patrick Huembeli, Michal Tomza, Maciej Lewenstein, Alexandre Dauphin

Mach. Learn. Sci. Technol., 2022

2021

Unsupervised machine learning of topological phase transitions from experimental data.

Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg

Mach. Learn. Sci. Technol., September, 2021

Efficient training of energy-based models via spin-glass control.

Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski

Mach. Learn. Sci. Technol., 2021

Entanglement-Based Feature Extraction by Tensor Network Machine Learning.

Yuhan Liu, Wen-Jun Li, Xiao Zhang, Maciej Lewenstein, Gang Su, Shi-Ju Ran

Frontiers Appl. Math. Stat., 2021

Unsupervised learning of anomalous diffusion data.

Gorka Muñoz-Gil, Guillem Guigó i Corominas, Maciej Lewenstein

CoRR, 2021

2020

Control of anomalous diffusion of a Bose polaron.

Christos Charalambous, Miguel Ángel García-March, Gorka Muñoz-Gil, Przemyslaw R. Grzybowski, Maciej Lewenstein

Quantum, 2020

Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics.

Zahra Baghali Khanian, Manabendra Nath Bera, Arnau Riera, Maciej Lewenstein, Andreas J. Winter

CoRR, 2020

Understanding and improving unsupervised training of Boltzman machines.

Przemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Ángel García-March, Maciej Lewenstein

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Efficient training of energy-based models via spin-glass control.

Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemyslaw R. Grzybowski

CoRR, 2019

Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning.

Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein

CoRR, 2019

Machine learning method for single trajectory characterization.

Gorka Muñoz-Gil, Miguel Ángel García-March, Carlo Manzo, José David Martín-Guerrero, Maciej Lewenstein

CoRR, 2019

2018

Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition.

Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran

CoRR, 2018

2016

Logarithmic Coherence: Operational interpretation of l₁-norm Coherence.

Swapan Rana, Preeti Parashar, Andreas J. Winter, Maciej Lewenstein

CoRR, 2016

2015

Trace distance measure of coherence.

Swapan Rana, Preeti Parashar, Maciej Lewenstein

CoRR, 2015

2014

ClassSTRONG: Classical simulations of strong field processes.

M. F. Ciappina, José Antonio Pérez-Hernández, Maciej Lewenstein

Comput. Phys. Commun., 2014

2012

Distribution of entanglement in networks of bi-partite full-rank mixed states.

G. J. Lapeyre, Sébastien Perseguers, Maciej Lewenstein, Antonio Acín

Quantum Inf. Comput., 2012

2009

Towards measurable bounds on entanglement measures.

Remigiusz Augusiak, Maciej Lewenstein

Quantum Inf. Process., 2009

2004

Simplifying schmidt number witnesses via higher-dimensional embeddings.

Florian Hulpke, Dagmar Bruß, Maciej Lewenstein, Anna Sanpera

Quantum Inf. Comput., 2004

1994

Local Noise in Neural Networks Models with Self-Control.

Michal Zochowski, Maciej Lewenstein, Andrzej Nowak

Int. J. Neural Syst., 1994