Parameter estimation from quantum-jump data using neural networks

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.

NATURVETENSKAP Data- och informationsvetenskap Datorteknik hsv//swe
NATURAL SCIENCES Computer and Information Sciences Computer Engineering hsv//eng
quantum metrology
photon counting
deep learning
neural networks
quantum parameter estimation
quantum jumps

González Lastre, ManuelUniversidad Autonoma de Madrid (UAM) (författare)
García Herreros, SergioUniversidad Autonoma de Madrid (UAM) (författare)
Ahmed, Shahnawaz,1995Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)shaahm (författare)
Khanahmadi, Maryam,1994Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)markhana (författare)
Nori, F.University of Michigan,RIKEN (författare)
Sánchez Munõz, CarlosUniversidad Autonoma de Madrid (UAM),CSIC - Instituto de Fisica Fundamental (IFF) (författare)
RIKENUniversidad Autonoma de Madrid (UAM) (creator_code:org_t)

Av författaren/redakt...: Rinaldi, Enrico; González Lastre, ...; García Herreros, ...; Ahmed, Shahnawaz ...; Khanahmadi, Mary ...; Nori, F.; visa fler...; Sánchez Munõz, C ...; visa färre...

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