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Experimental metrology beyond the standard quantum limit for a wide resources range

Physics

Experimental metrology beyond the standard quantum limit for a wide resources range

V. Cimini, E. Polino, et al.

Discover how quantum resources can revolutionize parameter estimation! This research, conducted by Valeria Cimini, Emanuele Polino, Federico Belliardo, Francesco Hoch, Bruno Piccirillo, Nicolò Spagnolo, Vittorio Giovannetti, and Fabio Sciarrino, unveils a groundbreaking method for optimal resource allocation that achieves Heisenberg scaling, showcasing impressive sub-SQL performance across a vast range of resources.

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~3 min • Beginner • English
Abstract
Adopting quantum resources for parameter estimation discloses the possibility to realize quantum sensors operating at a sensitivity beyond the standard quantum limit. Such an approach promises to reach the fundamental Heisenberg scaling as a function of the employed resources N in the estimation process. Although previous experiments demonstrated precision scaling approaching Heisenberg-limited performances, reaching such a regime for a wide range of N remains hard to accomplish. Here, we show a method that suitably allocates the available resources permitting them to reach the same power law of Heisenberg scaling without any prior information on the parameter. We demonstrate experimentally such an advantage in measuring a rotation angle. We quantitatively verify sub-standard quantum limit performances for a considerable range of N (O(30,000)) by using single-photon states with high-order orbital angular momentum, achieving an error reduction, in terms of the obtained variance, >10 dB below the standard quantum limit. Such results can be applied to different scenarios, opening the way to the optimization of resources in quantum sensing.
Publisher
npj Quantum Information
Published On
Mar 02, 2023
Authors
Valeria Cimini, Emanuele Polino, Federico Belliardo, Francesco Hoch, Bruno Piccirillo, Nicolò Spagnolo, Vittorio Giovannetti, Fabio Sciarrino
Tags
quantum resources
parameter estimation
Heisenberg scaling
sub-SQL performance
orbital angular momentum
variance reduction
quantum sensing
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