Sign inGet started
Paper · arXiv

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures

In this work, we construct new non-Euclidean neural quantum states (NQS) based on hyperbolic Lorentz recurrent architectures (RNN/GRU). These constructions, together with the Poincare RNN NQS also newly constructed here, extend the class of previously introduced non-Eucllidean NQS which consists only of Poincare hyperbolic GRU. Using the Heisenberg J1J2 and J1J2J3 models consisting of 100 spins in the Variational Monte Carlo (VMC) setting, we show that the four hyperbolic RNN/GRU NQS variants are always able to furnish better representations of the ground state wavefunctions of the quantum systems than their respective Euclidean counterparts with the same architecture. In our experiments,...

AuthorsH. L. Dao
Primary categoryquant-ph
Published27 April 2026
Last updated at source3 August 2026
quant-phcond-mat.dis-nncs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/e6e76370-1048-407a-a57a-785aded557f4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.