Efficient Quantum State Sample Tomography with Basis-Dependent Neural Networks
We use a metalearning neural-network approach to analyze data from a measured quantum state. Once our neural network has been trained, it can be used to efficiently sample measurements of the state in measurement bases not contained in the training data. These samples can be used to calculate expect...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Physical Society
2021-06-01
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| Saila: | PRX Quantum |
| Sarrera elektronikoa: | http://doi.org/10.1103/PRXQuantum.2.020348 |
| Etiketak: |
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