Maciej Lewenstein

Orcid: 0000-0002-0210-7800

According to our database1, Maciej Lewenstein authored at least 26 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Stabilization of Hubbard-Thouless pumps through nonlocal fermionic repulsion.
Quantum, March, 2024

Sonification of Wigner Functions: Case Study of Intense Light-Matter Interactions.
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.
Quantum, October, 2023

Universal representation by Boltzmann machines with Regularised Axons.
CoRR, 2023

Learning minimal representations of stochastic processes with variational autoencoders.
CoRR, 2023

2022
Probing quantum entanglement from magnetic-sublevels populations: beyond spin squeezing inequalities.
Quantum, September, 2022

Linear Maps as Sufficient Criteria for Entanglement Depth and Compatibility in Many-Body Systems.
Open Syst. Inf. Dyn., September, 2022

Hessian-based toolbox for reliable and interpretable machine learning in physics.
Mach. Learn. Sci. Technol., 2022

2021
Unsupervised machine learning of topological phase transitions from experimental data.
Mach. Learn. Sci. Technol., September, 2021

Efficient training of energy-based models via spin-glass control.
Mach. Learn. Sci. Technol., 2021

Entanglement-Based Feature Extraction by Tensor Network Machine Learning.
Frontiers Appl. Math. Stat., 2021

Unsupervised learning of anomalous diffusion data.
CoRR, 2021

2020
Control of anomalous diffusion of a Bose polaron.
Quantum, 2020

Resource theory of heat and work with non-commuting charges: yet another new foundation of thermodynamics.
CoRR, 2020

Understanding and improving unsupervised training of Boltzman machines.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Efficient training of energy-based models via spin-glass control.
CoRR, 2019

Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning.
CoRR, 2019

Machine learning method for single trajectory characterization.
CoRR, 2019

2018
Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition.
CoRR, 2018

2016
Logarithmic Coherence: Operational interpretation of l<sub>1</sub>-norm Coherence.
CoRR, 2016

2015
Trace distance measure of coherence.
CoRR, 2015

2014
ClassSTRONG: Classical simulations of strong field processes.
Comput. Phys. Commun., 2014

2012
Distribution of entanglement in networks of bi-partite full-rank mixed states.
Quantum Inf. Comput., 2012

2009
Towards measurable bounds on entanglement measures.
Quantum Inf. Process., 2009

2004
Simplifying schmidt number witnesses via higher-dimensional embeddings.
Quantum Inf. Comput., 2004

1994
Local Noise in Neural Networks Models with Self-Control.
Int. J. Neural Syst., 1994


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