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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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| Veröffentlicht in: | Entropy (Basel) |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | 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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