The paper considers a model of a two-dimensional interacting electron gas confined in an asymmetric oscillator potential well. It is investigated the energy of the system's ground state and electron density using restricted Boltzmann machine.
- Godfellow I., Bengio Y., Courville A. Deep Learning. The MIT Press, Cambridge, Massachusetts (2016).
- Carleo G., Troyer M. Solving the quantum many-body problem with artificial neural networks. Science. 355, 602 (2016).
- Carrasquilla J., Torlai G. Neural networks in quantum many-body physics: a hands-on tutorial. Preprint ArXiv:2101.11099 (2021).
- Carleo G., Cirac I., Cranmer K., Daudet L., Schuld M., Tishby N., Vogt-Maranto L., Zdeborová L. Machine learning and the physical sciences. Review of Modern Physics. 91, 045002 (2019).
- Carleo B., Lester W., Reynolds P. Monte Carlo Methods in Ab Initio Quantum Chemistry. World Scientific, Singapore (1994).
- Vakarchuk I. O. Quantum Mechanics. Ivan Franko National University of Lviv; 4th edition (2012).
- Nordhagen E. M., Kim J. M., Fore B., Lovato A., Hjorth-Jensen M. Efficient solutions of fermionic systems using artificial neural networks. Frontiers in Physics. 11, 1061580 (2023).