Hidden-nucleons neural-network quantum states for the nuclear many-body problem
Alessandro Lovato, C. Adams, Giuseppe Carleo, Noemi Rocco
Abstract
Understanding how protons and neutrons self-organize to form atomic nuclei requires solving the nuclear many-body Schr\"odinger equation. This work addresses this nontrivial task through a neural network quantum states ansatz that involves additional ``hidden'' degrees of freedom to improve the accuracy of the solution systemically. Light and medium-mass nuclei's energy and spatial density distributions are in excellent agreement with those obtained utilizing exact-diagonalization and diffusion Monte Carlo approaches.
Topics & Concepts
NucleonQuantumPhysicsNuclear physicsQuantum mechanicsNuclear physics research studiesAdvanced NMR Techniques and ApplicationsQuantum Chromodynamics and Particle Interactions