Research
Application of artificial neural networks for modeling many particle quantum systems.
Publications
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Ledinauskas, E., & Anisimovas, E. (2025). Universal performance gap of neural quantum states applied to the Hofstadter-Bose-Hubbard model. SciPost Physics, 18(1), 011.
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Ledinauskas, E., & Anisimovas, E. (2023). Scalable imaginary time evolution with neural network quantum states. SciPost Physics, 15(6), 229.
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Ledinauskas, E., Ruseckas, J., Juršėnas, A., & Buračas, G. (2020). Training deep spiking neural networks. arXiv preprint arXiv:2006.04436.
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Ledinauskas, E., & Zubovas, K. (2020). Evolution of dwarf galaxy observable parameters. Monthly Notices of the Royal Astronomical Society, 493(1), 638-650.
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Ledinauskas, E., & Zubovas, K. (2018). Reignited star formation in dwarf galaxies that were quenched during reionization. Astronomy & Astrophysics, 615, A64.
About myself
Education:
Theoretical physics and astrophysics MSc, Vilnius University.
VU ITPA:
PhD Student since 2022.
Eimantas Ledinauskas