A new neural quantum state ansatz for bosons in the grand canonical ensemble achieves competitive variational energies in 1D and 2D systems and provides access to one-body reduced density matrices.
citation dossier
Vari- ational Neural-Network Ansatz for Continuum Quan- tum Field Theory
1Pith papers citing it
1reference links
quant-phtop field · 1 papers
UNVERDICTEDtop verdict bucket · 1 papers
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Pith has found this work in 1 reviewed paper. Its strongest current cluster is quant-ph (1 papers). The largest review-status bucket among citing papers is UNVERDICTED (1 papers). For highly cited works, this page shows a dossier first and a bounded explorer second; it never tries to render every citing paper at once.
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Neural network quantum states in the grand canonical ensemble
A new neural quantum state ansatz for bosons in the grand canonical ensemble achieves competitive variational energies in 1D and 2D systems and provides access to one-body reduced density matrices.