Exploiting quantum chaos diagnostics in QAOA for enhanced hybrid quantum classical deep learning classification

Abstract The Quantum Approximate Optimization Algorithm (QAOA) is repurposed here as a feature map within a hybrid quantum–classical classifier, augmented by a chaos-informed diagnostic. We extract a scalar chaos feature by evaluating an Out-Of-Time-Ordered correlators (OTOC) along parameter-scaling...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Javier Villalba-Díez, Juan Carlos Losada-González
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-05-01
coleção:	Scientific Reports
Assuntos:	Quantum chaos QAOA Hybrid quantum-classical OTOC Quantum machine learning Chaos diagnostics
Acesso em linha:	https://doi.org/10.1038/s41598-026-51870-8
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!