DEVELOPMENT AND VALIDATION OF QUANTUM MACHINE LEARNING METHODS USING PREBUILT DATASETS

Project overview

The Centre of Excellence is pioneering quantum computing infrastructure in Lithuania, focusing on the integration of high-performance computing (HPC), quantum simulators and Machine Learning (ML) to address complex data-driven challenges.
The project advances Quantum Machine Learning (QML) methods, explores their applicability across different domains, and develops novel hybrid quantum–classical approaches for scientific discovery.

Project team

| in Remigijus Paulavičius | in  Ernestas Filatovas | in Marco Marcozzi | in Francisco José Orts Gómez | in Sasan Ansarian |

Publications

High-impact scientific publications

Scientific dissemination & public outreach

Participation in international conferences

National strategic documents

Quantum technology hackathons

Participation in international quantum technology hackathons

Organization of quantum technology hackathons

  • Organisation of QuantumBoost2025, the first quantum technology hackathon in Lithuania and the Baltic region.

    • M. Marcozzi – main task designer and mentor of hackathon teams.

    • R. Paulavičius – member of the evaluation committee and one of the main organisers of the event.

Contribution to programme objectives & external funding

The project contributes to the programme objective of strengthening the quality of R&D at Lithuanian universities by increasing high-level research outputs, attracting and developing researchers, and securing external research funding.

Successful funding applications

  1. International project
    Quantum Excellence Centre for Quantum-Enhanced Applications (QEC4QEA), funded under the HORIZON-EUROHPC-JU-2023-QEC-05 call.
    Vilnius University is one of 18 partners.
    VU budget: EUR 370,063.

  2. National project
    Quantum algorithms for advanced logistics: optimisation of transport routing, pickup-delivery and electric vehicle charging infrastructure, under the targeted programme “Informacinės technologijos mokslo ir žinių visuomenės plėtrai” (Information Technologies for the Development of Science and Knowledge Society).
    Budget: EUR 299,992.