Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning

2020/36/T/ST2/00588

Keywords:

ultracold molecules quantum simulations ultracold atoms interpretable machine learning

Descriptors:

  • ST2_008:
  • ST2_007:
  • ST6_011:

Panel:

ST2 - Fundamental constituents of matter: particle, nuclear, plasma, atomic, molecular, gas and optical physics

Host institution :

Uniwersytet Warszawski, Wydział Fizyki

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Anna Maria Dawid-Łękowska 

Number of co-investigators in the project: 1

Call: ETIUDA 8 - announced on 2019-12-16

Amount awarded: 132 688 PLN

Project start date (Y-m-d): 2021-02-01

Project end date (Y-m-d): 2022-01-31

Project duration:: 12 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (4)
  • Book publications / chapters in book publications (1)
  1. Two ultracold highly magnetic atoms in a one-dimensional harmonic trap
    Authors:
    Michał Suchorowski, Anna Dawid, Michał Tomza
    Academic press:
    Physical Review A (rok: 2022, tom: 106, strony: 43324), Wydawca: American Physical Society
    Status:
    Published
    DOI:
    10.1103/PhysRevA.106.043324 - link to the publication
  2. Unsupervised machine learning of topological phase transitions from experimental data
    Authors:
    Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg
    Academic press:
    Machine Learning: Science and Technology (rok: 2021, tom: 2, strony: 35037), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/2632-2153/abffe7 - link to the publication
  3. Hessian-based toolbox for reliable and interpretable machine learning in physics
    Authors:
    Anna Dawid, Patrick Huembeli, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin
    Academic press:
    Machine Learning: Science and Technology (rok: 2021, tom: 3, strony: 15002), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/2632-2153/ac338d - link to the publication
  4. Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
    Authors:
    Anna Dawid, Yann LeCun
    Academic press:
    Journal of Statistical Mechanics: Theory and Experiment (rok: 2024, tom: nieznany, strony: nieznany), Wydawca: IOP Publishing
    Status:
    Accepted for publication
  1. Authors:
    Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień, Kaelan Donatella, Kim Nicoli, Paolo Stornati, Rouven Koch, Miriam Büttner, Robert Okuła, Gorka Muñoz-Gil, Rodrigo A. Vargas-Hernández, Alba Cervera-Lierta, Juan Carrasquilla, Vedran Dunjko, Marylou Gabrié, Patrick Huembeli, Evert van Nieuwenburg, Filippo Vicentini, Lei Wang, Sebastian J. Wetzel, Giuseppe Carleo, Eliška Greplová, Roman Krems, Florian Marquardt, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin
    Book:
    Machine learning in quantum sciences (rok: 2024, tom: nieznany, strony: nieznany), Wydawca: Cambridge University Press
    Status:
    Accepted for publication
    DOI:
    nieznany - link to the publication

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