2025/06/06 by Qingqian Kang, Zekun Zhao, Kang, Qingqian +12 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Physical sciences #Mechanical and Optical Resonators #Neural Networks and Reservoir Computing #Quantum Information and Cryptography #Quantum Physics (quant-ph)
paper · pdf · doi:10.48550/arxiv.2506.05756
openalex publication_date 2025/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we analyze how multi-photon subtraction operations in a feedback-assisted interferometer can enhance measurement precision for single-parameter and two-parameter estimation under both ideal and photon-loss conditions. We examine the effects of the feedback strength R, the optical parametric amplifier's gain g, the coherent state amplitude α, and the order of multi-photon subtraction on system performance. We demonstrate that an optimal feedback strength Ropt exists in both conditions. Selecting a suitable R can significantly boost the system's robustness to photon loss, and markedly improve measurement precision. And the photon subtraction operations within a feedback-assisted interferometer can further enhance measurement precision effectively. Additionally, we find that increasing intramode correlations while decreasing intermode correlations can improve estimation accuracy. This work investigates a new method through the synergistic integration of feedback topology and non-Gaussian operations into a multiparameter estimation system, along with their systematic study under both ideal and loss conditions. The findings may contribute to improving quantum-enhanced measurements and hold promise for high-precision quantum sensing research.