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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Quantum topology and deep learning

2022/47/D/ST2/02058

Keywords:

quantum topology knots quivers 3-manifolds quantum field theory machine learning deep learning

Descriptors:

  • ST2_019:
  • ST1_006:
  • ST6_011:

Panel:

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

Host institution :

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Piotr Jan Kucharski 

Number of co-investigators in the project: 3

Call: SONATA 18 - announced on 2022-07-15

Amount awarded: 1 258 000 PLN

Project start date (Y-m-d): 2023-10-02

Project end date (Y-m-d): 2027-10-01

Project duration:: 48 months (the same as in the proposal)

Project status: Pending project

Project description

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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 (1)
  • Articles in post-conference publications (1)
  1. Unlinking symmetric quivers
    Authors:
    Piotr Kucharski, Hélder Larraguível, Dmitry Noshchenko, Piotr Sułkowski
    Academic press:
    Letters in Mathematical Physics (rok: 2026, tom: 116, strony: 10), Wydawca: Springer Nature
    Status:
    Published
    DOI:
    10.1007/s11005-025-02038-4 - link to the publication
  1. Knot-quiver correspondence: a brief review
    Authors:
    Piotr Kucharski, Dmitry Noshchenko
    Conference:
    Proceedings of the International Conference on Knots, Quivers and Beyond (ICKQB 2025) (rok: 2025, tom: International Conference on Knots, Quivers and Beyond, strony: 19-33), Wydawca: Atlantis Press
    Data:
    konferencja 18-21.02.2025
    Status:
    Published
    DOI:
    10.2991/978-94-6463-789-2_3 - link to the publication