2025/11/10 by Srijon Ghosh, Arkadiusz Kobus, Ghosh, Srijon +5
Engineering · Computer Science · #Optical Network Technologies #Neural Networks and Reservoir Computing #Quantum Information and Cryptography
paper · pdf · doi:10.48550/arxiv.2511.07211
We investigate optimal metrological protocols for phase estimation in the presence of correlated dephasing noise, including spin-squeezed states 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 a latest quantum comb extension method or an optimized classical simulation method. We find that the spin-squeezed 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.