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This research advances quantum metrology by optimizing phase estimation protocols under correlated dephasing noise, specifically evaluating spin-squeezed states against tensor-network-based adaptive strategies. The study establishes performance benchmarks for different noise correlation regimes, offering practical guidance for designing robust quantum sensing devices.
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Optimal phase estimation in the presence of correlated dephasing

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arXiv:2511.07211v2 Announce Type: replace Abstract: We investigate optimal metrological protocols for phase estimation in the presence of correlated dephasing noise, including spin-squeezed state sensing strategies as well as parallel and adaptive protocols optimized using tensor-network-based numerical methods. The results are benchmarked against fundamental bounds obtained either via the latest quantum comb extension method or an optimized classical simulation method. We find that the spin-squeezed states offer practically optimal performance in the regime where phase fluctuations are positively correlated but can be outperformed by tensor-network-optimized strategies for negatively correlated fluctuations.

Abstract:We investigate optimal metrological protocols for phase estimation in the presence of correlated dephasing noise, including spin-squeezed state sensing strategies as well as parallel and adaptive protocols optimized using tensor-network-based numerical methods. The results are benchmarked against fundamental bounds obtained either via the latest quantum comb extension method or an optimized classical simulation method. We find that the spin-squeezed states offer practically optimal performance in the regime where phase fluctuations are positively correlated but can be outperformed by tensor-network-optimized strategies for negatively correlated fluctuations.

arXiv:2511.07211 [quant-ph]

(or arXiv:2511.07211v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2511.07211 Focus to learn more arXiv-issued DOI via DataCite

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