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Multi-body wave function of ground and low-lying excited states using unornamented deep neural networks
- Source :
- Phys. Rev. Research 5, 033189 (2023)
- Publication Year :
- 2023
-
Abstract
- We propose a method to calculate wave functions and energies not only of the ground state but also of low-lying excited states using a deep neural network and the unsupervised machine learning technique. For systems composed of identical particles, a simple method to perform symmetrization for bosonic systems and antisymmetrization for fermionic systems is also proposed.<br />Comment: 23 pages, 18 figures, 8 tables; Typo of Eq. (25) corrected
Details
- Database :
- arXiv
- Journal :
- Phys. Rev. Research 5, 033189 (2023)
- Publication Type :
- Report
- Accession number :
- edsarx.2302.08965
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1103/PhysRevResearch.5.033189