Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time, or nonclassical quantum states. The adaptive Bayesian approach to parameter estimation allows an efficient use of reso...
| Główni autorzy: | , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
American Physical Society
2021-04-01
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| Seria: | PRX Quantum |
| Dostęp online: | http://doi.org/10.1103/PRXQuantum.2.020303 |