Approximating Ground States by Neural Network Quantum States

Motivated by the Carleo’s work (Science, 2017, 355: 602), we focus on finding the neural network quantum statesapproximation of the unknown ground state of a given Hamiltonian H in terms of the best relative error and explore the influences of sum, tensor product, local unitary of Hamiltonians on th...

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Detalles Bibliográficos
Autores principales: Yang, Ying, Zhang, Chengyang, Cao, Huaixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514192/
https://www.ncbi.nlm.nih.gov/pubmed/33266798
http://dx.doi.org/10.3390/e21010082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514192/
https://www.ncbi.nlm.nih.gov/pubmed/33266798
http://dx.doi.org/10.3390/e21010082

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