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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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Bibliografski detalji
Izdano u:Entropy (Basel)
Glavni autori: Yang, Ying, Zhang, Chengyang, Cao, Huaixin
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7514192/
https://ncbi.nlm.nih.gov/pubmed/33266798
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21010082
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