PhD student Eimantas Ledinauskas

PhD student Eimantas Ledinauskas

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Institute of Theoretical Physics and Astronomy (ITPA)

Application of artificial neural networks for modeling many particle quantum systems

PhD student

Quantum many-particle systems, artificial neural networks, tensor networks

1. Ledinauskas, E., & Anisimovas, E. (2025). Universal performance gap of neural quantum states applied to the Hofstadter-Bose-Hubbard model. SciPost Physics, 18(1), 011.
2. Ledinauskas, E., & Anisimovas, E. (2023). Scalable imaginary time evolution with neural network quantum states. SciPost Physics, 15(6), 229.
3. Ledinauskas, E., Ruseckas, J., Juršėnas, A., & Buračas, G. (2020). Training deep spiking neural networks. arXiv preprint arXiv:2006.04436.
4. Ledinauskas, E., & Zubovas, K. (2020). Evolution of dwarf galaxy observable parameters. Monthly Notices of the Royal Astronomical Society, 493(1), 638-650.
5. Ledinauskas, E., & Zubovas, K. (2018). Reignited star formation in dwarf galaxies that were quenched during reionization. Astronomy & Astrophysics, 615, A64.

Rector's certificate of gratitude for achievements in science and studies.