SamueleGiuli/PCA-gGA-data: Data and plotting scripts for "Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space"

Read full text
Authors: Samuele Giuli
Cited by: 1

Abstract

This repository contains the data and plotting scripts used to generate the figures for the paper: "Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space" - arxiv:2512.21666 The repository includes processed datasets corresponding directly to the plotted quantities, along with standalone Python scripts for figure reproduction. Refer to the README for instructions on reproducing the figures.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 April 2026