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author = {Nguyen, Vu and Orbell, Sebastian B. and Lennon, D. T. and Moon, Hyunjin and Vigneau, Florian and Camenzind, Lucas C. and Yu, Lin and Z\"{u}mb\"{u}hl, Dominique M. and Briggs, G. Andrew D. and Osborne, Miles A. and Sejdinovic, Dino and Ares, N.},
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title = {Deep Reinforcement Learning for Efficient Measurement of Quantum Devices},
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journal = {npj Quantum Information},
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volume = {7},
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page = {100},
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year = {2021},
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doi = {10.1038/s41534-021-00434-x}
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}
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@article{Reinschmidt2024,
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author = {Reinschmidt, Malte and Fort\'agh, J\'ozsef and G\"unther, Andreas and Volchkov, Valentin V.},
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title = {Reinforcement Learning in Cold Atom Experiments},
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journal = {Nature Communications},
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volume = {15},
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pages = {8532},
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year = {2024},
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doi = {10.1038/s41467-024-52775-8}
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}
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@article{Cooke2025,
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author = {Cooke, Logan W. and Czischek, Stefanie},
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title = {Reinforcement Learning for Optimal Control of Spin Magnetometers},
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journal = {arXiv preprint arXiv:2506.21475},
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year = {2025}
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}
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@article{Belliardo2024,
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author = {Belliardo, Federico and Zoratti, Fabio and Marquardt, Florian and Giovannetti, Vittorio},
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title = {Model-aware reinforcement learning for high-performance Bayesian experimental design in quantum metrology},
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journal = {Quantum},
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volume = {8},
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pages = {1555},
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year = {2024}
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}
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@article{Degen2017,
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author = {Degen, Christian L. and Reinhard, Florian and Cappellaro, Paola},
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