Few-Body Systems I

FOCUS · APR-L87 · ID: 4035489

Presentations

  • ORAL

    –

    Publication: [1] G. Clausen et al. Phys. Rev. A 111, 012817 (2025).
    [2] G.W.F. Drake et al. Phys. Rev. A, submitted (2025); arXiv:2510.17495.
    [3] V. Patkos et al. Phys. Rev. A 103, 042809 (2021).

    Presenters

    • Gordon W F Drake

      • University of Windsor

    Authors

    • Gordon W F Drake

      • University of Windsor

    • Oliver P Hallett

      • University of Windsor

    • Titamarie M Maggio

      • University of Windsor

    • Benjamin C Najem

      • University of Windsor

    View abstract →

  • ORAL

    –

    Publication: [1]. G.Kron, Electric Circuit Models of the Schrödinger Equation, Physical Review, Vol.67, Nr 1,2.
    [2]. V.Yon et al, Experimental Online Quantum Dots Charge Autotuning Using Neural Networks, Nano Lett, 25, 2025,
    [3]. L.Monbroussou, Photonic Quantum Convolutional Neural Networks with Adaptive State Injection, Arxiv: 2504.20989v1, 2025,
    [4]. M.V.Altaisky et al, Towards a feasible implementation of quantum neural networks using quantum dots, Appl. Phys. Lett. 108, 103108, 2016,
    [5]. R.Kruse et al., Detailed study of Gaussian boson sampling, Phys. Rev. A 100, 032326, 2019,
    [6]. K.Pomorski et al., Analytic view on coupled single-electron lines , Semicond. Sci. Technology, Vol.34, 125015, 2019,
    [7]. K.Pomorski et al. , Analytical solutions for N interacting electron system confined in graph of coupled electrostatic semiconductor and superconducting quantum dots in tight-binding model, Cryogenics, Vol. 109, 2020, 103117.

    Presenters

    • Krzysztof D Pomorski

      • University of New Mexico

    Authors

    • Krzysztof D Pomorski

      • University of New Mexico

    • Artur Michalak

      • Lodz University of Technology
      • Warsaw University of Technology

    • Wojciech Nowakowski

      • Lodz University of Technology

    View abstract →