Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology
Quantum sensors offer control flexibility during estimation by allowing manipulation by the experimenter across various parameters. For each sensing platform, pinpointing the optimal controls to enhance the sensor's precision remains a challenging task. While an analytical solution might be out of r...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-12-01
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| Serija: | Quantum |
| Online dostop: | https://quantum-journal.org/papers/q-2024-12-10-1555/pdf/ |
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