Adaptive quantum state tomography with neural networks
Abstract Current algorithms for quantum state tomography (QST) are costly both on the experimental front, requiring measurement of many copies of the state, and on the classical computational front, needing a long time to analyze the gathered data. Here, we introduce neural adaptive quantum state to...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2021-06-01
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| Edice: | npj Quantum Information |
| On-line přístup: | https://doi.org/10.1038/s41534-021-00436-9 |
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