Principal Component Analysis and t-Distributed Stochastic Neighbor Embedding Analysis in the Study of Quantum Approximate Optimization Algorithm Entangled and Non-Entangled Mixing Operators

In this paper, we employ PCA and t-SNE analyses to gain deeper insights into the behavior of entangled and non-entangled mixing operators within the Quantum Approximate Optimization Algorithm (QAOA) at various depths. We utilize a dataset containing optimized parameters generated for max-cut problem...

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Detalles Bibliográficos
Autores principales: Sarmina, Brian García, Sun, Guo-Hua, Dong, Shi-Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670472/
https://www.ncbi.nlm.nih.gov/pubmed/37998191
http://dx.doi.org/10.3390/e25111499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670472/
https://www.ncbi.nlm.nih.gov/pubmed/37998191
http://dx.doi.org/10.3390/e25111499

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