Application of the Hopfield network and quantum algorithms for SPD event reconstruction (project status) / PI-type fully symmetric quadrature rules on the 2-, …, 6-simplexes

Seminars

Laboratory of Information Technologies

Joint Laboratory Seminar

Date and Time: Tuesday, 19 March 2024, at 11:00 AM

Venue: room 310, Meshcheryakov Laboratory of Information Technologies, online on Webinar

Information about seminar

  1. Seminar topic: “Application of the Hopfield network and quantum algorithms for SPD event reconstruction (project status)”

    Speaker: Martin Bures

    Authors: Gennady Ososkov, Ivan Kadochnikov

    Abstract:

    One of the key stages in the processing of experimental data from HEP is the reconstruction of trajectories (tracks) of interacting particles from measurement data. In the SPD Experiment planned at the NICA Collider, a major difficulty will be caused by the extremely high frequency of interactions (3 MHz) due to the high luminosity of the particle beams, leading to the overlap of events during their acquisition in the time-slice mode, as well as by a strong contamination of data by false measurements due to the peculiarities of the SPD track detectors.

    In this talk we present the current status of works on the development of an efficient tracking algorithm for model events of the SPD Experiment based on the application of the Hopfield neural network. Taking into account the specifics of the experiment, an optimisation of the parameters of the neural network energy function is proposed to improve the tracking results.

    In order to substantially accelerate the SPD tracking procedure, the applicability of quantum algorithms for this purpose is investigated. In this setting, the tracking problem is formulated as quadratic unconstrained binary optimisation (QUBO) and solved by simulated annealing or quantum annealing. Successful results from recent work on solving combinatorial optimisation problems by quantum methods point to their possible applications for fast data processing of SPD or other high-luminosity experiments. A pilot study of the method on TrackML data has been performed, and we intend to adapt this approach to SPD model data.


  2. Seminar topic: “PI-type fully symmetric quadrature rules on the 2-, …, 6-simplexes”

    Speaker: Galmandakh Chuluunbaatar

    Abstract:

    The high-order finite element method (FEM) schemes yield highly accurate solutions of the boundary value problems due to their fast convergence. However, they are not currently used to solve multidimensional problems, since their implementation requires large resources. This obstacle is gradually being removed with the progress in computational technology.