Peer-reviewedCC BY 4.0Quantum
Optimal phase estimation in the presence of correlated dephasing
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.
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BibTeX
@article{ghosh2026optimal,
title = {{Optimal phase estimation in the presence of correlated dephasing}},
author = {Srijon Ghosh and Arkadiusz Kobus and Stanisław Kurdziałek and Rafał Demkowicz-Dobrzański},
journal = {Quantum},
year = {2026},
month = oct,
doi = {10.22331/q-2026-10-28-2251},
url = {https://quantum-journal.org/papers/q-2026-10-28-2251/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Optimal phase estimation in the presence of correlated dephasing
AU - Srijon Ghosh
AU - Arkadiusz Kobus
AU - Stanisław Kurdziałek
AU - Rafał Demkowicz-Dobrzański
PY - 2026
DA - 2026/10/28
JO - Quantum
DO - 10.22331/q-2026-10-28-2251
UR - https://quantum-journal.org/papers/q-2026-10-28-2251/
AB - 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.
SN - 2521-327X
ER -