Work

Parametric Neural Quantum States for Nuclear Physics

Year: 2026

Type: preprint

Abstract: We introduce a new approach, based on neural quantum states (NQSs), to rapidly compute nuclear observables when couplings in nuclear Hamiltonians are varied. A single interaction-dependent NQS, trained across a range of couplings in the Hamiltonian, provides high-fidelity wavefunctions for that continuous range of interaction parameters. With access to the wavefunction for each set of couplings, any static observables can be computed efficiently without retraining the NQS. We apply this framework to two-body nuclear scattering and the deuteron ground state with local interactions derived from chiral effective field theory up to third order.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2609.20799

Authors: Yamauchi, Yukari, Curry, Ryan, King, Garrett B., Lawrence, Scott, Somasundaram, Rahul, Tews, Ingo

Institutions: Los Alamos National Laboratory, University of Washington

Language: English

Topic: Nuclear physics research studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Energy, University of Washington, Office of Science, National Nuclear Security Administration, Nuclear Physics, Laboratory Directed Research and Development, Los Alamos National Laboratory

Awards: G1017065088, G1132151304, INSTITUTE FOR NUCLEAR THEORY, G1279347439, G1527848044, G173100064, G2182133612, G2356915424, G2886131259, G604949671, G6410514744, G6563880843, INSTITUTE FOR NUCLEAR THEORY

OpenAlex ID: W7213601748

Cites: 45

Cited by:

Related to: 10