Quantum architecture search via truly proximal policy optimization

Quantum Architecture Search (QAS) is a process of voluntarily designing quantum circuit architectures using intelligent algorithms. Recently, Kuo et al. (Quantum architecture search via deep reinforcement learning. arXiv preprint arXiv:2104.07715, 2021) proposed a deep reinforcement learning-based Q...

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Detalles Bibliográficos
Autores principales: Zhu, Xianchao, Hou, Xiaokai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060432/
https://www.ncbi.nlm.nih.gov/pubmed/36991061
http://dx.doi.org/10.1038/s41598-023-32349-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060432/
https://www.ncbi.nlm.nih.gov/pubmed/36991061
http://dx.doi.org/10.1038/s41598-023-32349-2

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