QHSX Entanglement–Energy Landscapes: Phase Structure, Correlation Scaling, and Tail-Min Energy Signatures

This preprint presents a reproducible empirical study of entanglement–energy landscapes generated by the QHSX/MEGA ELITE pipeline for the configurations (n, d) ∈ {(8,4), (8,6), (10,4), (10,6)}. The analysis investigates statistical dependence between sampled energy and negativity-derived entanglement proxies, the geometry of the joint energy–entanglement landscape, and minimum / tail-minimum energy trends across configurations. Across all four datasets, the study finds strong negative Pearson and Spearman correlations between energy and the principal entanglement proxy, together with non-uniform and phase-like geometric organization in the sampled landscape. The manuscript does not claim a formal thermodynamic phase transition; rather, it reports reproducible empirical evidence of structured regime separation and coherent low-energy behavior within the analyzed range. The work is intended as an empirical contribution to variational quantum optimization, entanglement-aware benchmarking, and exploratory landscape analysis in sampled quantum circuit families.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-12
DOI
https://doi.org/10.5281/zenodo.19546086
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

QHSX Entanglement–Energy Landscapes: Phase Structure, Correlation Scaling, and Tail-Min Energy Signatures

Jorge Coello García, Andrés Silverio Torres
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
article

QHSX Entanglement–Energy Landscapes: Phase Structure, Correlation Scaling, and Tail-Min Energy Signatures

Jorge Coello García, Andrés Silverio Torres
article en

Abstract

This preprint presents a reproducible empirical study of entanglement–energy landscapes generated by the QHSX/MEGA ELITE pipeline for the configurations (n, d) ∈ {(8,4), (8,6), (10,4), (10,6)}. The analysis investigates statistical dependence between sampled energy and negativity-derived entanglement proxies, the geometry of the joint energy–entanglement landscape, and minimum / tail-minimum energy trends across configurations. Across all four datasets, the study finds strong negative Pearson and Spearman correlations between energy and the principal entanglement proxy, together with non-uniform and phase-like geometric organization in the sampled landscape. The manuscript does not claim a formal thermodynamic phase transition; rather, it reports reproducible empirical evidence of structured regime separation and coherent low-energy behavior within the analyzed range. The work is intended as an empirical contribution to variational quantum optimization, entanglement-aware benchmarking, and exploratory landscape analysis in sampled quantum circuit families.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 5%
Quantum many-body systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

QHSX Entanglement–Energy Landscapes: Phase Structure, Correlation Scaling, and Tail-Min Energy Signatures — Jorge Coello García, Andrés Silverio Torres · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS