Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits

Recent work on hybrid quantum-classical machine learning systems has demonstrated success in utilizing parameterized quantum circuits (PQCs) to solve the challenging reinforcement learning (RL) tasks, with provable learning advantages over classical systems, e.g., deep neural networks. While existin...

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Detalles Bibliográficos
Autores principales: Ding, Li, Spector, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857551/
https://www.ncbi.nlm.nih.gov/pubmed/36673234
http://dx.doi.org/10.3390/e25010093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857551/
https://www.ncbi.nlm.nih.gov/pubmed/36673234
http://dx.doi.org/10.3390/e25010093

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