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Experimental semi-autonomous eigensolver using reinforcement learning
The characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any quantum technology. In this work, we implement a semi-autonomous algorithm to obtain an approximation of the eigenvectors...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8192530/ https://ncbi.nlm.nih.gov/pubmed/34112819 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-90534-7 |
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