Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Can an artificial neural network teach us quantum physics?

2019/33/N/ST2/03123

Keywords:

phase classification ultracold atoms many-body localization topological phases machine learning neural networks interpretability of machine learning

Descriptors:

  • ST2_007:
  • ST2_008:
  • ST2_019:

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: 2

Call: PRELUDIUM 17 - announced on 2019-03-15

Amount awarded: 69 600 PLN

Project start date (Y-m-d): 2020-02-18

Project end date (Y-m-d): 2022-02-17

Project duration:: 24 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 (3)
  • Book publications / chapters in book publications (1)
  1. 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
  2. Phase Detection with Neural Networks: Interpreting the Black Box
    Authors:
    Anna Dawid, Patrick Huembeli, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin
    Academic press:
    New Journal of Physics (rok: 2020, tom: 22, strony: 115001), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/1367-2630/abc463 - link to the publication
  3. 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
  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:
    Modern applications of machine learning in quantum sciences (rok: 2023, tom: nieznany, strony: nieznany), Wydawca: Cambridge University Press
    Status:
    Accepted for publication
    DOI:
    nieznany - link to the publication

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