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Parameter estimatio...
Parameter estimation from quantum-jump data using neural networks
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- Rinaldi, Enrico (författare)
- RIKEN
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- González Lastre, Manuel (författare)
- Universidad Autonoma de Madrid (UAM)
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- García Herreros, Sergio (författare)
- Universidad Autonoma de Madrid (UAM)
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- Ahmed, Shahnawaz, 1995 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Khanahmadi, Maryam, 1994 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Nori, F. (författare)
- University of Michigan,RIKEN
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- Sánchez Munõz, Carlos (författare)
- Universidad Autonoma de Madrid (UAM),CSIC - Instituto de Fisica Fundamental (IFF)
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: Quantum Science and Technology. - 2058-9565. ; 9:3
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present an inference method utilizing artificial neural networks for parameter estimation of a quantum probe monitored through a single continuous measurement. Unlike existing approaches focusing on the diffusive signals generated by continuous weak measurements, our method harnesses quantum correlations in discrete photon-counting data characterized by quantum jumps. We benchmark the precision of this method against Bayesian inference, which is optimal in the sense of information retrieval. By using numerical experiments on a two-level quantum system, we demonstrate that our approach can achieve a similar optimal performance as Bayesian inference, while drastically reducing computational costs. Additionally, the method exhibits robustness against the presence of imperfections in both measurement and training data. This approach offers a promising and computationally efficient tool for quantum parameter estimation with photon-counting data, relevant for applications such as quantum sensing or quantum imaging, as well as robust calibration tasks in laboratory-based settings.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Nyckelord
- quantum metrology
- photon counting
- deep learning
- neural networks
- quantum parameter estimation
- quantum jumps
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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