Parameter estimation in quantum sensing based on deep reinforcement learning
Abstract Parameter estimation is a pivotal task, where quantum technologies can enhance precision greatly. We investigate the time-dependent parameter estimation based on deep reinforcement learning, where the noise-free and noisy bounds of parameter estimation are derived from a geometrical perspec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-01-01
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| Series: | npj Quantum Information |
| Online Access: | https://doi.org/10.1038/s41534-021-00513-z |