Relevant metrological scenarios involve the simultaneous estimation of multiple parameters. The fundamental ingredient to achieve quantum-enhanced performance is based on the use of appropriately tailored quantum probes. However, reaching the ultimate resolution allowed by physical laws requires nontrivial estimation strategies from both a theoretical and a practical point of view. A crucial tool for this purpose is the application of adaptive learning techniques. Indeed, adaptive strategies provide a flexible approach to obtain optimal parameter-independent performance and optimize convergence to the fundamental bounds with a limited amount of resources. Here, we combine on the same platform quantum-enhanced multiparameter estimation attaining the corresponding quantum limit and adaptive techniques. We demonstrate the simultaneous estimation of three optical phases in a programmable integrated photonic circuit, in the limited-resource regime. The obtained results show the possibility of successfully combining different fundamental methodologies towards transition to quantum sensors applications.
Experimental multiparameter quantum metrology in adaptive regime / Valeri, Mauro; Cimini, Valeria; Piacentini, Simone; Ceccarelli, Francesco; Polino, Emanuele; Hoch, Francesco; Bizzarri, Gabriele; Corrielli, Giacomo; Spagnolo, Nicolo'; Osellame, Roberto; Sciarrino, Fabio. - In: PHYSICAL REVIEW RESEARCH. - ISSN 2643-1564. - 5:1(2023). [10.1103/PhysRevResearch.5.013138]
Experimental multiparameter quantum metrology in adaptive regime
Valeri, Mauro;Cimini, Valeria;Hoch, Francesco;Spagnolo, Nicolo';Sciarrino, Fabio
2023
Abstract
Relevant metrological scenarios involve the simultaneous estimation of multiple parameters. The fundamental ingredient to achieve quantum-enhanced performance is based on the use of appropriately tailored quantum probes. However, reaching the ultimate resolution allowed by physical laws requires nontrivial estimation strategies from both a theoretical and a practical point of view. A crucial tool for this purpose is the application of adaptive learning techniques. Indeed, adaptive strategies provide a flexible approach to obtain optimal parameter-independent performance and optimize convergence to the fundamental bounds with a limited amount of resources. Here, we combine on the same platform quantum-enhanced multiparameter estimation attaining the corresponding quantum limit and adaptive techniques. We demonstrate the simultaneous estimation of three optical phases in a programmable integrated photonic circuit, in the limited-resource regime. The obtained results show the possibility of successfully combining different fundamental methodologies towards transition to quantum sensors applications.File | Dimensione | Formato | |
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