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of 10
pro vyhledávání: '"Belliardo, Federico"'
Publikováno v:
International Journal of Quantum Information (2024)
The recent advances in machine learning hold great promise for the fields of quantum sensing and metrology. With the help of reinforcement learning, we can tame the complexity of quantum systems and solve the problem of optimal experimental design. R
Externí odkaz:
http://arxiv.org/abs/2403.10317
An important practical problem in the field of quantum metrology and sensors is to find the optimal sequences of controls for the quantum probe that realize optimal adaptive estimation. In Belliardo et al., arXiv:2312.16985 (2023), we solved this pro
Externí odkaz:
http://arxiv.org/abs/2403.05706
Publikováno v:
Quantum 8, 1555 (2024)
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 ta
Externí odkaz:
http://arxiv.org/abs/2312.16985
Autor:
Belliardo, Federico, Cimini, Valeria, Polino, Emanuele, Hoch, Francesco, Piccirillo, Bruno, Spagnolo, Nicolò, Giovannetti, Vittorio, Sciarrino, Fabio
Achieving quantum-enhanced performances when measuring unknown quantities requires developing suitable methodologies for practical scenarios, that include noise and the availability of a limited amount of resources. Here, we report on the optimizatio
Externí odkaz:
http://arxiv.org/abs/2211.04747
Publikováno v:
New Journal of Physics, 2022. 24(12): 123041
In this paper we address a special case of "sloppy" quantum estimation procedures which happens in the presence of intertwined parameters. A collection of parameters are said to be intertwined when their imprinting on the quantum probe that mediates
Externí odkaz:
http://arxiv.org/abs/2206.05999
Autor:
Cimini, Valeria, Polino, Emanuele, Belliardo, Federico, Hoch, Francesco, Piccirillo, Bruno, Spagnolo, Nicolò, Giovannetti, Vittorio, Sciarrino, Fabio
Adopting quantum resources for parameter estimation discloses the possibility to realize quantum sensors operating at a sensitivity beyond the standard quantum limit. Such approach promises to reach the fundamental Heisenberg scaling as a function of
Externí odkaz:
http://arxiv.org/abs/2110.02908
Publikováno v:
New J. Phys. 23, 063055 (2021)
In this paper we introduce a measure of genuine quantum incompatibility in the estimation task of multiple parameters, that has a geometric character and is backed by a clear operational interpretation. This measure is then applied to some simple sys
Externí odkaz:
http://arxiv.org/abs/2102.13417
Publikováno v:
Phys. Rev. A 102, 042613 (2020)
In this paper we explore the possibility of performing Heisenberg limited quantum metrology of a phase, without any prior, by employing only maximally entangled states. Starting from the estimator introduced by Higgins et al. in New J. Phys. 11, 0730
Externí odkaz:
http://arxiv.org/abs/2007.02994
Akademický článek
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Autor:
Belliardo, Federico, Cimini, Valeria, Polino, Emanuele, Hoch, Francesco, Piccirillo, Bruno, Spagnolo, Nicolò, Giovannetti, Vittorio, Sciarrino, Fabio
Achieving quantum-enhanced performances when measuring unknown quantities requires developing suitable methodologies for practical scenarios, that include noise and the availability of a limited amount of resources. Here, we report on the optimizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d37c3ffbc7599f48e8173315c427fa4