Quantum engineering of novel ultracold complex molecular systems: from diatomic to polyatomic molecules


Program: First Team Grant, Foundation for Polish Science
Number: POIR.04.04.00-00-5CFB/18
Amount: 2,198,000 PLN (~510,000 EUR)
Date: VII 2019 – III 2023
PI: Michał Tomza

We propose and theoretically investigate new ways of producing, controlling, and manipulating ultracold complex molecules including both diatomics in non-trivial electronic states and polyatomic molecules. We investigate the formation of highly magnetic and polar molecules containing open-shell complex atoms such as lanthanides and we will propose new schemes of both sequential formation of polyatomic molecule from ultracold atoms using atom-by-atom ensembling as well as association of three or four atoms, and their subsequent stabilization using optical transitions and coherent control. We provide new hybrid formation schemes combining few-body effects, impact of static magnetic and electric fields, optical and microwave transitions optimally engineered in time and frequency domains all together for efficient production of complex molecules for new ultracold experiments exploiting features emerging from conical intersections, geometric phase, and non-trivial geometries.

People:

  1. Prof. Michał Tomza (PI)
  2. Dr. Marcin Gronowski (postdoc)
  3. Dr. Matthew Frye (postdoc)
  4. Dr. Jacek Dobrzyniecki (postdoc)
  5. Dr. Piotr Gniewek (postdoc)
  6. Anna Dawid-Łękowska (PhD student)
  7. Sangami Ganesan Santhi (PhD student)
  8. Jacek Gębala (MSc/PhD student)
  9. Adam Koza (MSc/PhD student)
  10. Michał Suchorowski (MSc/PhD student)
  11. Agata Wojciechowska (BSc/MSc/PhD student)
  12. Marcin Kalinowski (MSc student)

Publications:

  1. K. Jachymski, M. Gronowski, M. Tomza
    Collisional losses of ultracold molecules due to intermediate complex formation
    Phys. Rev. A 106, L041301 (2022)
    Letter
  2. M. Suchorowski, A. Dawid, M. Tomza
    Two ultracold highly magnetic atoms in a one-dimensional harmonic trap
    Phys. Rev. A 106, 043324 (2022)
  3. A. Dawid, P. Huembeli, M. Tomza, M. Lewenstein, A. Dauphin
    Hessian-based toolbox for reliable and interpretable machine learning in physics
    Mach. Learn.: Sci. Technol. 3, 015002 (2022)
  4. K. Zaremba-Kopczyk, M. Tomza
    Van der Waals molecules consisting of a zinc or cadmium atom interacting with an alkali-metal or alkaline-earth-metal atom
    Phys. Rev. A 104, 042816 (2021)
  5. A. Dawid, P. Huembeli, M. Tomza, M. Lewenstein, A. Dauphin
    Phase Detection with Neural Networks: Interpreting the Black Box
    New J. Phys. 22, 115001 (2020)
    Focus issue on “Machine Learning Across Physics”